Package evaluation to test KNearestCenters on Julia 1.14.0-DEV.24 (d5fb6bbb43*) started at 2025-11-02T21:57:28.971 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.7s ################################################################################ # Installation # Installing KNearestCenters... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [4dca28ae] + KNearestCenters v0.8.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.22.0 [a9b6321e] + Atomix v1.1.2 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.7 ⌅ [324d7699] + CategoricalArrays v0.10.8 [d360d2e6] + ChainRulesCore v1.26.0 [fb6a15b2] + CloseOpenIntervals v0.1.13 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.1 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.5 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.1 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [615f187c] + IfElse v0.1.1 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.5 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] + JLD2 v0.4.55 [b14d175d] + JuliaVariables v0.2.4 [5d8de97f] + KCenters v0.10.0 [4dca28ae] + KNearestCenters v0.8.0 [63c18a36] + KernelAbstractions v0.9.38 [b964fa9f] + LaTeXStrings v1.4.0 [10f19ff3] + LayoutPointers v0.1.17 ⌅ [7f8f8fb0] + LearnBase v0.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [30fc2ffe] + LossFunctions v0.8.1 [c2834f40] + MLCore v1.0.0 ⌃ [9920b226] + MLDataPattern v0.5.4 [cc2ba9b6] + MLDataUtils v0.5.4 [66a33bbf] + MLLabelUtils v0.5.7 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.2 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.31 [71a1bf82] + NameResolution v0.1.5 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v3.1.0 [92933f4c] + ProgressMeter v1.11.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [431bcebd] + SciMLPublic v1.0.0 [7e506255] + ScopedValues v1.5.0 [0e966ebe] + SearchModels v0.4.1 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 ⌅ [053f045d] + SimilaritySearch v0.12.3 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [171d559e] + SplittablesBase v0.1.15 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 ⌅ [2913bbd2] + StatsBase v0.33.21 [7792a7ef] + StrideArraysCore v0.5.8 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [8290d209] + ThreadingUtilities v0.5.5 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.85 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 3.69s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 8938.5 ms ✓ StatsBase 3309.8 ms ✓ LossFunctions 10185.8 ms ✓ BangBang → BangBangDataFramesExt 1353.0 ms ✓ MicroCollections 41678.4 ms ✓ JLD2 5647.1 ms ✓ LearnBase 4888.9 ms ✓ SearchModels 6082.0 ms ✓ Transducers 5820.6 ms ✓ MLLabelUtils 17062.5 ms ✓ SimilaritySearch 8126.8 ms ✓ Transducers → TransducersDataFramesExt 1950.2 ms ✓ Transducers → TransducersAdaptExt 13610.4 ms ✓ FLoops 7532.2 ms ✓ MLDataPattern 21912.1 ms ✓ MLUtils 10967.3 ms ✓ MLDataUtils 20340.5 ms ✓ KCenters 27566.2 ms ✓ KNearestCenters 18 dependencies successfully precompiled in 220 seconds. 155 already precompiled. Precompilation completed after 227.4s ################################################################################ # Testing # Testing KNearestCenters Status `/tmp/jl_YT8lm1/Project.toml` [4c88cf16] Aqua v0.8.14 [336ed68f] CSV v0.10.15 ⌅ [324d7699] CategoricalArrays v0.10.8 [5d8de97f] KCenters v0.10.0 [4dca28ae] KNearestCenters v0.8.0 ⌅ [30fc2ffe] LossFunctions v0.8.1 [f1d291b0] MLUtils v0.4.8 [0e966ebe] SearchModels v0.4.1 ⌅ [053f045d] SimilaritySearch v0.12.3 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_YT8lm1/Manifest.toml` [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [a9b6321e] Atomix v1.1.2 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.15 ⌅ [324d7699] CategoricalArrays v0.10.8 [d360d2e6] ChainRulesCore v1.26.0 [fb6a15b2] CloseOpenIntervals v0.1.13 [944b1d66] CodecZlib v0.7.8 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.5 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.1 [48062228] FilePathsBase v0.9.24 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [615f187c] IfElse v0.1.1 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] JLD2 v0.4.55 [b14d175d] JuliaVariables v0.2.4 [5d8de97f] KCenters v0.10.0 [4dca28ae] KNearestCenters v0.8.0 [63c18a36] KernelAbstractions v0.9.38 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 ⌅ [7f8f8fb0] LearnBase v0.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [30fc2ffe] LossFunctions v0.8.1 [c2834f40] MLCore v1.0.0 ⌃ [9920b226] MLDataPattern v0.5.4 [cc2ba9b6] MLDataUtils v0.5.4 [66a33bbf] MLLabelUtils v0.5.7 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.31 [71a1bf82] NameResolution v0.1.5 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v3.1.0 [92933f4c] ProgressMeter v1.11.0 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [431bcebd] SciMLPublic v1.0.0 [7e506255] ScopedValues v1.5.0 [0e966ebe] SearchModels v0.4.1 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 ⌅ [053f045d] SimilaritySearch v0.12.3 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [171d559e] SplittablesBase v0.1.15 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [7792a7ef] StrideArraysCore v0.5.8 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [8290d209] ThreadingUtilities v0.5.5 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.67.1+0 [3f19e933] p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Test Summary: | Pass Total Time Unbound type parameters | 1 1 0.2s Test Summary: | Pass Total Time Undefined exports | 1 1 0.0s Test Summary: | Pass Total Time Compare Project.toml and test/Project.toml | 1 1 0.0s Test Summary: | Pass Total Time Stale dependencies | 1 1 28.1s Test Summary: | Pass Total Time Compat bounds | 4 4 0.7s Test Summary: | Pass Total Time Piracy | 1 1 0.2s Test Summary: | Pass Total Time Persistent tasks | 1 1 1m29.9s Test Summary: | Pass Total Time Scores | 9 9 1.9s ┌ Warning: Base.download is deprecated; use Downloads.download instead │ caller = loadiris(; at::Float64, shuffle::Bool) at loaddata.jl:9 └ @ Core ~/.julia/packages/KNearestCenters/NPKdW/test/loaddata.jl:9 SearchModels> search params iter=0, initialpopulation=16, maxpopulation=16, bsize=8, mutbsize=4, crossbsize=8 SearchModels iteration 1> population: 11, bsize: 8, queue: 3, observed: 14, best-error: 0.014285714285714235 worst-error: 0.22142857142857142 SearchModels> stop by convergence error=KncConfig{GaussianKernel, CosineDistance, MedoidSelection{SqL2Distance}}(GaussianKernel(), CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0)) => 0.22142857142857142, iter=2 (of 16) === BEST MODEL:KncConfig{DirectKernel, CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(DirectKernel(), CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001)))) => 0.014285714285714235 Test Summary: | Pass Total Time NearestCenter search_models | 1 1 1m33.4s WARNING: Method definition loadiris() in module Main at /home/pkgeval/.julia/packages/KNearestCenters/NPKdW/test/loaddata.jl:5 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Main.loadiris)) in module Main at /home/pkgeval/.julia/packages/KNearestCenters/NPKdW/test/loaddata.jl:5 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition loadlinearreg() in module Main at /home/pkgeval/.julia/packages/KNearestCenters/NPKdW/test/loaddata.jl:21 overwritten on the same line (check for duplicate calls to `include`). KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, CentroidSelection}(L2Distance(), CentroidSelection(), 1, 7, 1, :rand, 0.5, 3) *** starting iteration: 1; err: Float32[Inf, 0.5469011] *** *** computing centroids *** *** computing 7 nearest references *** *** new score with 7 references: Float32[Inf, 0.5469011, 0.46078765] *** *** finished computation of 7 references, err: Float32[Inf, 0.5469011, 0.46078765] *** *** center 1: selecting labels [2, 3] (freq >= 3) [from [0, 9, 3]] ** center: 1, normalized-entropy: 0.8112781244591328, [(2, 9), (3, 3)] *** center 2: selecting labels [3] (freq >= 3) [from [0, 0, 10]] *** center 3: selecting labels [2] (freq >= 3) [from [0, 5, 0]] *** center 4: selecting labels [1] (freq >= 3) [from [28, 0, 0]] *** center 5: selecting labels [3] (freq >= 3) [from [0, 0, 9]] *** center 6: selecting labels [2] (freq >= 3) [from [0, 7, 1]] *** center 7: selecting labels [1] (freq >= 3) [from [3, 0, 0]] finished with 8 centers; started with 7 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, CentroidSelection}(L2Distance(), CentroidSelection(), 1, 17, 1, :rand, 0.5, 3) *** starting iteration: 1; err: Float32[Inf, 0.3657299] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.3657299, 0.33583945] *** *** finished computation of 17 references, err: Float32[Inf, 0.3657299, 0.33583945] *** *** center 1: selecting labels [2] (freq >= 3) [from [0, 5, 0]] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 0, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 0, 1] *** center 4: selecting labels [3] (freq >= 3) [from [0, 1, 6]] *** center 5: selecting labels [1] (freq >= 3) [from [10, 0, 0]] *** center 6: selecting labels [2] (freq >= 3) [from [0, 6, 0]] *** center 7: selecting labels [1] (freq >= 3) [from [7, 0, 0]] *** center 8: selecting labels [3] (freq >= 3) [from [0, 0, 14]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 1, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 1, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 1, 0] *** center 12: selecting labels [1] (freq >= 3) [from [5, 0, 0]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 0, 0] *** center 14: selecting labels [1] (freq >= 3) [from [5, 0, 0]] *** center 15: selecting labels [2] (freq >= 3) [from [0, 5, 1]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 1, 0] *** center 17: selecting labels [1] (freq >= 3) [from [4, 0, 0]] finished with 10 centers; started with 17 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 (acc, acc12) = (0.96, 0.9733333333333334) Test Summary: | Pass Total Time KncProto | 2 2 45.3s SearchModels> search params iter=0, initialpopulation=32, maxpopulation=16, bsize=8, mutbsize=8, crossbsize=8 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 6, 5, 1, :rand, 0.4, 4) *** starting iteration: 1; err: Float32[Inf, 0.0015005613] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.0015005613, 0.0013113858] *** *** finished computation of 5 references, err: Float32[Inf, 0.0015005613, 0.0013113858] *** *** center 1: selecting labels [1] (freq >= 4) [from [18, 0, 0]] *** center 2: selecting labels [2] (freq >= 4) [from [0, 15, 0]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 5: selecting labels [3] (freq >= 4) [from [0, 2, 12]] finished with 3 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 6, 5, 1, :rand, 0.4, 4) *** starting iteration: 1; err: Float32[Inf, 0.0012075937] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.0012075937, 0.0013478107] *** *** finished computation of 5 references, err: Float32[Inf, 0.0012075937, 0.0013478107] *** *** center 1: selecting labels [1] (freq >= 4) [from [8, 0, 0]] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [3, 0, 0] *** center 3: selecting labels [3] (freq >= 4) [from [0, 0, 5]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 2, 0] *** center 5: selecting labels [3] (freq >= 4) [from [0, 2, 5]] finished with 3 centers; started with 5 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 3, 12, 13, :rand, 0.6, 4) *** starting iteration: 1; err: Float32[Inf, 0.0006491979] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.0006491979, 0.0005980113] *** *** finished computation of 12 references, err: Float32[Inf, 0.0006491979, 0.0005980113] *** *** center 1: selecting labels [3] (freq >= 4) [from [0, 0, 4]] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 4: selecting labels [2] (freq >= 4) [from [0, 4, 0]] *** center 5: selecting labels [3] (freq >= 4) [from [0, 1, 4]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 9: selecting labels [1] (freq >= 4) [from [7, 0, 0]] *** center 10: selecting labels [2] (freq >= 4) [from [0, 11, 0]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 3] *** center 12: selecting labels [1] (freq >= 4) [from [5, 0, 0]] finished with 6 centers; started with 12 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 3, 12, 13, :rand, 0.6, 4) *** starting iteration: 1; err: Float32[Inf, 0.0005101454] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.0005101454, 0.0004851713] *** *** finished computation of 12 references, err: Float32[Inf, 0.0005101454, 0.0004851713] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 3] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 4: selecting labels [3] (freq >= 4) [from [0, 0, 5]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [3, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [3, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 3, 0] finished with 1 centers; started with 12 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 2, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.35599998] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665] *** *** starting iteration: 2; err: Float32[Inf, 0.35599998, 0.31266665] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664] *** *** starting iteration: 3; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664] *** *** starting iteration: 4; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664] *** *** starting iteration: 5; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664] *** *** starting iteration: 6; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** starting iteration: 7; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664] *** *** starting iteration: 8; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** starting iteration: 9; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664] *** *** starting iteration: 10; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** finished computation of 25 references, err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** center 1: selecting labels [1] (freq >= 1) [from [6, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 8: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 9: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 9, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 17: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 24: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 25 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 2, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.292] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.292, 0.22399999] *** *** starting iteration: 2; err: Float32[Inf, 0.292, 0.22399999] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.292, 0.22399999, 0.21599999] *** *** starting iteration: 3; err: Float32[Inf, 0.292, 0.22399999, 0.21599999] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.292, 0.22399999, 0.21599999, 0.21599999] *** *** finished computation of 25 references, err: Float32[Inf, 0.292, 0.22399999, 0.21599999, 0.21599999] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 25: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 18 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 4, 5, 13, :rand, 0.3, 16) *** starting iteration: 1; err: Float32[Inf, 0.5973032] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316] *** *** starting iteration: 2; err: Float32[Inf, 0.5973032, 0.53766316] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727] *** *** starting iteration: 3; err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086] *** *** starting iteration: 4; err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574] *** *** starting iteration: 5; err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212] *** *** starting iteration: 6; err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212, 0.5069172] *** *** starting iteration: 7; err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212, 0.5069172] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212, 0.5069172, 0.50249654] *** *** starting iteration: 8; err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212, 0.5069172, 0.50249654] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212, 0.5069172, 0.50249654, 0.50304776] *** *** finished computation of 5 references, err: Float32[Inf, 0.5973032, 0.53766316, 0.5309727, 0.5251086, 0.51726574, 0.5159212, 0.5069172, 0.50249654, 0.50304776] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 2, 4] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 8] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 9, 0] *** center 4: selecting labels [1] (freq >= 16) [from [20, 0, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 6, 1] finished with 1 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 4, 5, 13, :rand, 0.3, 16) *** starting iteration: 1; err: Float32[Inf, 0.58155406] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.58155406, 0.5073625] *** *** starting iteration: 2; err: Float32[Inf, 0.58155406, 0.5073625] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.58155406, 0.5073625, 0.4439614] *** *** starting iteration: 3; err: Float32[Inf, 0.58155406, 0.5073625, 0.4439614] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.58155406, 0.5073625, 0.4439614, 0.44588742] *** *** starting iteration: 4; err: Float32[Inf, 0.58155406, 0.5073625, 0.4439614, 0.44588742] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.58155406, 0.5073625, 0.4439614, 0.44588742, 0.44684586] *** *** finished computation of 5 references, err: Float32[Inf, 0.58155406, 0.5073625, 0.4439614, 0.44588742, 0.44684586] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 4, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [11, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 5] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 3] finished with 0 centers; started with 5 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 4, 24, 1, :rand, 0.6, 7) *** starting iteration: 1; err: Float32[Inf, 0.00036669872] *** *** computing centroids *** *** computing 24 nearest references *** *** new score with 24 references: Float32[Inf, 0.00036669872, 0.00025753817] *** *** finished computation of 24 references, err: Float32[Inf, 0.00036669872, 0.00025753817] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [3, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [4, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 3] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 3, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 4, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [4, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 1] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [3, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 3, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] finished with 0 centers; started with 24 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, CentroidSelection}(CosineDistance(), CentroidSelection(), 7, 29, 13, :rand, 0.8, 13) *** starting iteration: 1; err: Float32[Inf, 0.00029169265] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.00029169265, 0.00015700329] *** *** finished computation of 29 references, err: Float32[Inf, 0.00029169265, 0.00015700329] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 3] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 3] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [3, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 3] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] finished with 0 centers; started with 29 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 7, 10, 10, :rand, 0.7, 19) *** starting iteration: 1; err: Float32[Inf, 0.4413022] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527] *** *** starting iteration: 2; err: Float32[Inf, 0.4413022, 0.41985527] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993] *** *** starting iteration: 3; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527] *** *** starting iteration: 4; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783] *** *** starting iteration: 5; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755] *** *** starting iteration: 6; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893] *** *** starting iteration: 7; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054] *** *** starting iteration: 8; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054, 0.3890104] *** *** starting iteration: 9; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054, 0.3890104] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054, 0.3890104, 0.4087734] *** *** starting iteration: 10; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054, 0.3890104, 0.4087734] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054, 0.3890104, 0.4087734, 0.39347962] *** *** finished computation of 10 references, err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.4129527, 0.40205783, 0.42028755, 0.40611893, 0.38554054, 0.3890104, 0.4087734, 0.39347962] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 0, 1] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 1, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [7, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 2, 5] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [11, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [2, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 2, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 6, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 0, 7] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 19, freqs: [0, 6, 0] finished with 0 centers; started with 10 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 5, 31, 13, :rand, 0.5, 25) *** starting iteration: 1; err: Float32[Inf, 0.34599996] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.34599996, 0.30266663] *** *** starting iteration: 2; err: Float32[Inf, 0.34599996, 0.30266663] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.34599996, 0.30266663, 0.27466664] *** *** starting iteration: 3; err: Float32[Inf, 0.34599996, 0.30266663, 0.27466664] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.34599996, 0.30266663, 0.27466664, 0.27466664] *** *** finished computation of 31 references, err: Float32[Inf, 0.34599996, 0.30266663, 0.27466664, 0.27466664] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [2, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 2, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [2, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 2, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 1] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [5, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 1] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 3, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 1] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 2] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 2] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [3, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [4, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 1] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 1] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 2, 0] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 4] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] *** center 31: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 0] finished with 0 centers; started with 31 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 4, 31, 13, :rand, 0.6, 1) *** starting iteration: 1; err: Float32[Inf, 0.20545886] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642027] *** *** starting iteration: 2; err: Float32[Inf, 0.20545886, 0.16642027] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642027, 0.15807556] *** *** starting iteration: 3; err: Float32[Inf, 0.20545886, 0.16642027, 0.15807556] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642027, 0.15807556, 0.15444292] *** *** starting iteration: 4; err: Float32[Inf, 0.20545886, 0.16642027, 0.15807556, 0.15444292] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642027, 0.15807556, 0.15444292, 0.15378706] *** *** finished computation of 31 references, err: Float32[Inf, 0.20545886, 0.16642027, 0.15807556, 0.15444292, 0.15378706] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 9: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 9, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 23, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 24: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 25: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 26: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 27: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 29: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 31: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 31 centers; started with 31 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 4, 31, 13, :rand, 0.6, 1) *** starting iteration: 1; err: Float32[Inf, 0.20291847] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291847, 0.1302745] *** *** starting iteration: 2; err: Float32[Inf, 0.20291847, 0.1302745] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291847, 0.1302745, 0.080018] *** *** starting iteration: 3; err: Float32[Inf, 0.20291847, 0.1302745, 0.080018] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018] *** *** starting iteration: 4; err: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018, 0.047971655] *** *** starting iteration: 5; err: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018, 0.047971655] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127] *** *** starting iteration: 6; err: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127, 0.033941127] *** *** finished computation of 31 references, err: Float32[Inf, 0.20291847, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127, 0.033941127] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 26: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 31: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 22 centers; started with 31 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 3, 5, 7, :rand, 0.6, 10) *** starting iteration: 1; err: Float32[Inf, 0.66494405] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568] *** *** starting iteration: 2; err: Float32[Inf, 0.66494405, 0.6301568] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568, 0.6072809] *** *** starting iteration: 3; err: Float32[Inf, 0.66494405, 0.6301568, 0.6072809] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068] *** *** starting iteration: 4; err: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064] *** *** starting iteration: 5; err: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064, 0.6005917] *** *** starting iteration: 6; err: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064, 0.6005917] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064, 0.6005917, 0.5436357] *** *** starting iteration: 7; err: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064, 0.6005917, 0.5436357] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064, 0.6005917, 0.5436357, 0.55903655] *** *** finished computation of 5 references, err: Float32[Inf, 0.66494405, 0.6301568, 0.6072809, 0.6051068, 0.5831064, 0.6005917, 0.5436357, 0.55903655] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 9, 1] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 7] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 8, 5] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [7, 0, 0] *** center 5: selecting labels [1] (freq >= 10) [from [13, 0, 0]] finished with 1 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 3, 5, 7, :rand, 0.6, 10) *** starting iteration: 1; err: Float32[Inf, 0.6293927] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446] *** *** starting iteration: 2; err: Float32[Inf, 0.6293927, 0.9509446] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446, 0.70783037] *** *** starting iteration: 3; err: Float32[Inf, 0.6293927, 0.9509446, 0.70783037] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638] *** *** starting iteration: 4; err: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626] *** *** starting iteration: 5; err: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626, 0.91466963] *** *** starting iteration: 6; err: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626, 0.91466963] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626, 0.91466963, 0.53480345] *** *** starting iteration: 7; err: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626, 0.91466963, 0.53480345] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626, 0.91466963, 0.53480345, 0.6175738] *** *** finished computation of 5 references, err: Float32[Inf, 0.6293927, 0.9509446, 0.70783037, 0.6606638, 1.0432626, 0.91466963, 0.53480345, 0.6175738] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [6, 0, 0] *** center 2: selecting labels [3] (freq >= 10) [from [0, 2, 10]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [4, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] finished with 1 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 4, 4, 4, :rand, 0.8, 16) *** starting iteration: 1; err: Float32[Inf, 0.7697375] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697375, 0.7997526] *** *** starting iteration: 2; err: Float32[Inf, 0.7697375, 0.7997526] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697375, 0.7997526, 0.8885973] *** *** starting iteration: 3; err: Float32[Inf, 0.7697375, 0.7997526, 0.8885973] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697375, 0.7997526, 0.8885973, 0.9300297] *** *** starting iteration: 4; err: Float32[Inf, 0.7697375, 0.7997526, 0.8885973, 0.9300297] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697375, 0.7997526, 0.8885973, 0.9300297, 0.6703616] *** *** finished computation of 4 references, err: Float32[Inf, 0.7697375, 0.7997526, 0.8885973, 0.9300297, 0.6703616] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 3, 9] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [5, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [15, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 14, 4] finished with 0 centers; started with 4 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.1999644] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653] *** *** starting iteration: 2; err: Float32[Inf, 0.1999644, 0.170653] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196] *** *** starting iteration: 3; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214] *** *** starting iteration: 4; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604] *** *** starting iteration: 5; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695] *** *** starting iteration: 6; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304] *** *** starting iteration: 7; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667] *** *** starting iteration: 8; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667, 0.1341723] *** *** starting iteration: 9; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667, 0.1341723] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667, 0.1341723, 0.13591895] *** *** starting iteration: 10; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667, 0.1341723, 0.13591895] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667, 0.1341723, 0.13591895, 0.13536446] *** *** finished computation of 30 references, err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931604, 0.1505695, 0.15342304, 0.14592667, 0.1341723, 0.13591895, 0.13536446] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 13, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 24: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 25: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 26: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 27: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 29: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 30: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 31 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.10191707] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.10191707, 0.06634608] *** *** starting iteration: 2; err: Float32[Inf, 0.10191707, 0.06634608] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.10191707, 0.06634608, 0.06634608] *** *** finished computation of 30 references, err: Float32[Inf, 0.10191707, 0.06634608, 0.06634608] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 19 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 23, 1, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.0004747416] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.0004747416, 0.000364149] *** *** finished computation of 23 references, err: Float32[Inf, 0.0004747416, 0.000364149] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 6, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 17: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 20 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 23, 1, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.00027831632] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00027831632, 0.00021093697] *** *** finished computation of 23 references, err: Float32[Inf, 0.00027831632, 0.00021093697] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [7, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 3]] finished with 15 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, MedoidSelection{SqL2Distance}}(L1Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 4, 8, 4, :rand, 0.1, 13) *** starting iteration: 1; err: Float32[Inf, 0.72199994] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8599999] *** *** starting iteration: 2; err: Float32[Inf, 0.72199994, 0.8599999] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8599999, 0.7759999] *** *** starting iteration: 3; err: Float32[Inf, 0.72199994, 0.8599999, 0.7759999] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8599999, 0.7759999, 0.77800006] *** *** starting iteration: 4; err: Float32[Inf, 0.72199994, 0.8599999, 0.7759999, 0.77800006] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8599999, 0.7759999, 0.77800006, 0.82199997] *** *** finished computation of 8 references, err: Float32[Inf, 0.72199994, 0.8599999, 0.7759999, 0.77800006, 0.82199997] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 4] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 6, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [7, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 4, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [9, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 4] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 7, 4] finished with 0 centers; started with 8 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, CentroidSelection}(L2Distance(), CentroidSelection(), 6, 16, 4, :rand, 0.9, 10) *** starting iteration: 1; err: Float32[Inf, 0.32362923] *** *** computing centroids *** *** computing 16 nearest references *** *** new score with 16 references: Float32[Inf, 0.32362923, 0.29515687] *** *** starting iteration: 2; err: Float32[Inf, 0.32362923, 0.29515687] *** *** computing centroids *** *** computing 16 nearest references *** *** new score with 16 references: Float32[Inf, 0.32362923, 0.29515687, 0.26448882] *** *** starting iteration: 3; err: Float32[Inf, 0.32362923, 0.29515687, 0.26448882] *** *** computing centroids *** *** computing 16 nearest references *** *** new score with 16 references: Float32[Inf, 0.32362923, 0.29515687, 0.26448882, 0.26448882] *** *** finished computation of 16 references, err: Float32[Inf, 0.32362923, 0.29515687, 0.26448882, 0.26448882] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [6, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [5, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [5, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 6, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 6] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 4] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] finished with 0 centers; started with 16 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, CentroidSelection}(L1Distance(), CentroidSelection(), 7, 26, 1, :rand, 0.1, 10) *** starting iteration: 1; err: Float32[Inf, 0.45400003] *** *** computing centroids *** *** computing 26 nearest references *** *** new score with 26 references: Float32[Inf, 0.45400003, 0.3866667] *** *** finished computation of 26 references, err: Float32[Inf, 0.45400003, 0.3866667] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [3, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 5, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [3, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 6] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 3] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 0] finished with 0 centers; started with 26 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 4, 25, 4, :rand, 0.5, 13) *** starting iteration: 1; err: Float32[Inf, 0.0003644187] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.0003644187, 0.00024431187] *** *** finished computation of 25 references, err: Float32[Inf, 0.0003644187, 0.00024431187] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [7, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 5, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 6, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 3] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [5, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 1] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] finished with 0 centers; started with 25 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, MedoidSelection{SqL2Distance}}(L1Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 5, 5, 13, :rand, 0.6, 10) *** starting iteration: 1; err: Float32[Inf, 1.0579998] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06] *** *** starting iteration: 2; err: Float32[Inf, 1.0579998, 1.06] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998] *** *** starting iteration: 3; err: Float32[Inf, 1.0579998, 1.06, 1.1439998] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997] *** *** starting iteration: 4; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998] *** *** starting iteration: 5; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997] *** *** starting iteration: 6; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999] *** *** starting iteration: 7; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001] *** *** starting iteration: 8; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999] *** *** starting iteration: 9; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998] *** *** starting iteration: 10; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999] *** *** starting iteration: 11; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999, 1.2779999] *** *** starting iteration: 12; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999, 1.2779999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999, 1.2779999, 1.028] *** *** starting iteration: 13; err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999, 1.2779999, 1.028] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999, 1.2779999, 1.028, 1.1459999] *** *** finished computation of 5 references, err: Float32[Inf, 1.0579998, 1.06, 1.1439998, 1.3179997, 1.1759998, 1.0679997, 1.1099999, 1.2520001, 1.2239999, 1.0599998, 1.1779999, 1.2779999, 1.028, 1.1459999] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 5, 0] *** center 2: selecting labels [2, 3] (freq >= 10) [from [0, 12, 13]] ** center: 2, normalized-entropy: 0.998845535995202, [(2, 12), (3, 13)] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [4, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [5, 0, 0] *** center 5: selecting labels [1] (freq >= 10) [from [11, 0, 0]] finished with 3 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, MedoidSelection{SqL2Distance}}(L1Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 5, 5, 13, :rand, 0.6, 10) *** starting iteration: 1; err: Float32[Inf, 0.9119999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997] *** *** starting iteration: 2; err: Float32[Inf, 0.9119999, 0.83599997] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005] *** *** starting iteration: 3; err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005] *** *** starting iteration: 4; err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994] *** *** starting iteration: 5; err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86] *** *** starting iteration: 6; err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86, 0.79200006] *** *** starting iteration: 7; err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86, 0.79200006] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86, 0.79200006, 1.132] *** *** starting iteration: 8; err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86, 0.79200006, 1.132] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86, 0.79200006, 1.132, 1.1319999] *** *** finished computation of 5 references, err: Float32[Inf, 0.9119999, 0.83599997, 0.84800005, 0.78800005, 0.88399994, 0.86, 0.79200006, 1.132, 1.1319999] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 7] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 2] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 5: selecting labels [1] (freq >= 10) [from [11, 0, 0]] finished with 1 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 3, 28, 10, :rand, 0.2, 10) *** starting iteration: 1; err: Float32[Inf, 0.23371483] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.23371483, 0.22055471] *** *** starting iteration: 2; err: Float32[Inf, 0.23371483, 0.22055471] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.23371483, 0.22055471, 0.20153876] *** *** starting iteration: 3; err: Float32[Inf, 0.23371483, 0.22055471, 0.20153876] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.23371483, 0.22055471, 0.20153876, 0.17172505] *** *** starting iteration: 4; err: Float32[Inf, 0.23371483, 0.22055471, 0.20153876, 0.17172505] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.23371483, 0.22055471, 0.20153876, 0.17172505, 0.1724645] *** *** finished computation of 28 references, err: Float32[Inf, 0.23371483, 0.22055471, 0.20153876, 0.17172505, 0.1724645] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 2] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [5, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 2] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 4] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 2] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [4, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [2, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 2, 0] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 1, 0] finished with 0 centers; started with 28 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, CentroidSelection}(L2Distance(), CentroidSelection(), 3, 29, 10, :rand, 0.5, 7) *** starting iteration: 1; err: Float32[Inf, 0.24339096] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952825] *** *** starting iteration: 2; err: Float32[Inf, 0.24339096, 0.20952825] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952825, 0.1915297] *** *** starting iteration: 3; err: Float32[Inf, 0.24339096, 0.20952825, 0.1915297] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952825, 0.1915297, 0.17677285] *** *** starting iteration: 4; err: Float32[Inf, 0.24339096, 0.20952825, 0.1915297, 0.17677285] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952825, 0.1915297, 0.17677285, 0.17253019] *** *** starting iteration: 5; err: Float32[Inf, 0.24339096, 0.20952825, 0.1915297, 0.17677285, 0.17253019] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952825, 0.1915297, 0.17677285, 0.17253019, 0.17253019] *** *** finished computation of 29 references, err: Float32[Inf, 0.24339096, 0.20952825, 0.1915297, 0.17677285, 0.17253019, 0.17253019] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 5, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [3, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [5, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [6, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] finished with 0 centers; started with 29 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 6, 21, 7, :rand, 0.7, 25) *** starting iteration: 1; err: Float32[Inf, 0.34005916] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926] *** *** starting iteration: 2; err: Float32[Inf, 0.34005916, 0.32259926] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926, 0.27554017] *** *** starting iteration: 3; err: Float32[Inf, 0.34005916, 0.32259926, 0.27554017] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942] *** *** starting iteration: 4; err: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245] *** *** starting iteration: 5; err: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245, 0.24292257] *** *** starting iteration: 6; err: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245, 0.24292257] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245, 0.24292257, 0.23890707] *** *** starting iteration: 7; err: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245, 0.24292257, 0.23890707] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245, 0.24292257, 0.23890707, 0.24020714] *** *** finished computation of 21 references, err: Float32[Inf, 0.34005916, 0.32259926, 0.27554017, 0.26905942, 0.24728245, 0.24292257, 0.23890707, 0.24020714] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [2, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 2] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [2, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 1] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 3] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 1, 2] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 2] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 8, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [5, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 6, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [1, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 2, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 2] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [0, 0, 1] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [2, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 25, freqs: [4, 0, 0] finished with 0 centers; started with 21 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, CentroidSelection}(CosineDistance(), CentroidSelection(), 3, 19, 13, :rand, 0.5, 13) *** starting iteration: 1; err: Float32[Inf, 0.00056039414] *** *** computing centroids *** *** computing 19 nearest references *** *** new score with 19 references: Float32[Inf, 0.00056039414, 0.00036669243] *** *** finished computation of 19 references, err: Float32[Inf, 0.00056039414, 0.00036669243] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 4, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [6, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [7, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 1] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 8] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 4] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] finished with 0 centers; started with 19 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 6, 20, 1, :rand, 0.8, 16) *** starting iteration: 1; err: Float32[Inf, 0.30917275] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.30917275, 0.27647063] *** *** finished computation of 20 references, err: Float32[Inf, 0.30917275, 0.27647063] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 5, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [10, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 2, 1] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [3, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 1] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 1] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 1] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 2, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 4, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 5] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [4, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] finished with 0 centers; started with 20 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 1, 27, 7, :rand, 0.6, 16) *** starting iteration: 1; err: Float32[Inf, 0.31709594] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343] *** *** starting iteration: 2; err: Float32[Inf, 0.31709594, 0.25562343] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939933] *** *** starting iteration: 3; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939933] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725] *** *** starting iteration: 4; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243] *** *** starting iteration: 5; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243, 0.17225246] *** *** starting iteration: 6; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243, 0.17225246] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243, 0.17225246, 0.1676124] *** *** starting iteration: 7; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243, 0.17225246, 0.1676124] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243, 0.17225246, 0.1676124, 0.16481371] *** *** finished computation of 27 references, err: Float32[Inf, 0.31709594, 0.25562343, 0.21939933, 0.19183725, 0.16981243, 0.17225246, 0.1676124, 0.16481371] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [2, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [2, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [3, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 2, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 3, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [5, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 6, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 1] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 1] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 1] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 3, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 1, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [0, 0, 2] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 16, freqs: [1, 0, 0] finished with 0 centers; started with 27 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 3, 20, 10, :rand, 0.1, 13) *** starting iteration: 1; err: Float32[Inf, 0.00051788613] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.00051788613, 0.0003792602] *** *** finished computation of 20 references, err: Float32[Inf, 0.00051788613, 0.0003792602] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 3] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [3, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [6, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 5] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] finished with 0 centers; started with 20 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 6, 25, 13, :rand, 0.6, 4) *** starting iteration: 1; err: Float32[Inf, 0.27235976] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.27235976, 0.25764328] *** *** starting iteration: 2; err: Float32[Inf, 0.27235976, 0.25764328] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.27235976, 0.25764328, 0.24849975] *** *** starting iteration: 3; err: Float32[Inf, 0.27235976, 0.25764328, 0.24849975] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432] *** *** starting iteration: 4; err: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432, 0.23592424] *** *** starting iteration: 5; err: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432, 0.23592424] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432, 0.23592424, 0.23744833] *** *** starting iteration: 6; err: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432, 0.23592424, 0.23744833] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432, 0.23592424, 0.23744833, 0.23744833] *** *** finished computation of 25 references, err: Float32[Inf, 0.27235976, 0.25764328, 0.24849975, 0.23713432, 0.23592424, 0.23744833, 0.23744833] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 3: selecting labels [1] (freq >= 4) [from [7, 0, 0]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [3, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 2, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 2] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [3, 0, 0] *** center 11: selecting labels [3] (freq >= 4) [from [0, 0, 4]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 14: selecting labels [2] (freq >= 4) [from [0, 6, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 24: selecting labels [2] (freq >= 4) [from [0, 5, 1]] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] finished with 4 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 6, 25, 13, :rand, 0.6, 4) *** starting iteration: 1; err: Float32[Inf, 0.1422701] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.1422701, 0.113289446] *** *** starting iteration: 2; err: Float32[Inf, 0.1422701, 0.113289446] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.1422701, 0.113289446, 0.086662024] *** *** starting iteration: 3; err: Float32[Inf, 0.1422701, 0.113289446, 0.086662024] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.1422701, 0.113289446, 0.086662024, 0.086662024] *** *** finished computation of 25 references, err: Float32[Inf, 0.1422701, 0.113289446, 0.086662024, 0.086662024] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 2, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 1, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] finished with 0 centers; started with 25 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, MedoidSelection{SqL2Distance}}(L1Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 5, 20, 13, :rand, 0.7, 13) *** starting iteration: 1; err: Float32[Inf, 0.48599994] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599994, 0.43600002] *** *** starting iteration: 2; err: Float32[Inf, 0.48599994, 0.43600002] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599994, 0.43600002, 0.44199997] *** *** starting iteration: 3; err: Float32[Inf, 0.48599994, 0.43600002, 0.44199997] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599994, 0.43600002, 0.44199997, 0.44] *** *** starting iteration: 4; err: Float32[Inf, 0.48599994, 0.43600002, 0.44199997, 0.44] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599994, 0.43600002, 0.44199997, 0.44, 0.44] *** *** finished computation of 20 references, err: Float32[Inf, 0.48599994, 0.43600002, 0.44199997, 0.44, 0.44] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 2] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 6] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 1] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [5, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [5, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 8, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] finished with 0 centers; started with 20 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 28, 1, :rand, 0.3, 13) *** starting iteration: 1; err: Float32[Inf, 0.33799994] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.33799994, 0.30733332] *** *** finished computation of 28 references, err: Float32[Inf, 0.33799994, 0.30733332] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [3, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [6, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 1, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 1] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 0] finished with 0 centers; started with 28 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 1, 17, 13, :rand, 0.3, 7) *** starting iteration: 1; err: Float32[Inf, 0.552] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.552, 0.44966668] *** *** starting iteration: 2; err: Float32[Inf, 0.552, 0.44966668] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.552, 0.44966668, 0.4256667] *** *** starting iteration: 3; err: Float32[Inf, 0.552, 0.44966668, 0.4256667] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003] *** *** starting iteration: 4; err: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003, 0.4143333] *** *** starting iteration: 5; err: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003, 0.4143333] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003, 0.4143333, 0.40499997] *** *** starting iteration: 6; err: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003, 0.4143333, 0.40499997] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003, 0.4143333, 0.40499997, 0.40499997] *** *** finished computation of 17 references, err: Float32[Inf, 0.552, 0.44966668, 0.4256667, 0.42100003, 0.4143333, 0.40499997, 0.40499997] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [6, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 4, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [5, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 3] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 6, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [6, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 2] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 4] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] finished with 0 centers; started with 17 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 28, 1, :rand, 0.4, 7) *** starting iteration: 1; err: Float32[Inf, 0.24222668] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.24222668, 0.21794352] *** *** finished computation of 28 references, err: Float32[Inf, 0.24222668, 0.21794352] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 3: selecting labels [1] (freq >= 7) [from [7, 0, 0]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [5, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 4, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 1] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 2, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [6, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] finished with 1 centers; started with 28 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 28, 1, :rand, 0.4, 7) *** starting iteration: 1; err: Float32[Inf, 0.15986966] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.15986966, 0.12864712] *** *** finished computation of 28 references, err: Float32[Inf, 0.15986966, 0.12864712] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 1] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 3] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [2, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [1, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 1, 0] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 0] finished with 0 centers; started with 28 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, CentroidSelection}(L2Distance(), CentroidSelection(), 2, 28, 10, :rand, 0.1, 22) *** starting iteration: 1; err: Float32[Inf, 0.3190595] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.2616487] *** *** starting iteration: 2; err: Float32[Inf, 0.3190595, 0.2616487] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.2616487, 0.23459019] *** *** starting iteration: 3; err: Float32[Inf, 0.3190595, 0.2616487, 0.23459019] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.2616487, 0.23459019, 0.2261946] *** *** starting iteration: 4; err: Float32[Inf, 0.3190595, 0.2616487, 0.23459019, 0.2261946] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.2616487, 0.23459019, 0.2261946, 0.2261946] *** *** finished computation of 28 references, err: Float32[Inf, 0.3190595, 0.2616487, 0.23459019, 0.2261946, 0.2261946] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 1, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 1, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [2, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 2, 1] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 1, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 1, 4] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 1, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [4, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 3, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [2, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [1, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 2, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 3, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [2, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [3, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 0, 5] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 0, 1] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 2, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 0, 2] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 22, freqs: [0, 0, 0] finished with 0 centers; started with 28 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 4, 18, 10, :rand, 0.1, 13) *** starting iteration: 1; err: Float32[Inf, 0.38880852] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427] *** *** starting iteration: 2; err: Float32[Inf, 0.38880852, 0.346427] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866] *** *** starting iteration: 3; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737] *** *** starting iteration: 4; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632] *** *** starting iteration: 5; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936] *** *** starting iteration: 6; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045] *** *** starting iteration: 7; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275] *** *** starting iteration: 8; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275, 0.28390622] *** *** starting iteration: 9; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275, 0.28390622] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275, 0.28390622, 0.2978941] *** *** starting iteration: 10; err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275, 0.28390622, 0.2978941] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275, 0.28390622, 0.2978941, 0.2912034] *** *** finished computation of 18 references, err: Float32[Inf, 0.38880852, 0.346427, 0.3175866, 0.3378737, 0.2954632, 0.33157936, 0.29374045, 0.29234275, 0.28390622, 0.2978941, 0.2912034] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 4, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [3, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 3] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 8, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 2, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 3, 2] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 6] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [0, 0, 2] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [4, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [1, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 13, freqs: [2, 0, 0] finished with 0 centers; started with 18 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingSearchModels iteration 1> population: 8, bsize: 8, queue: 15, observed: 47, best-error: 0.020000000000000018 worst-error: 0.7 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 2, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.00047635523] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00047635523, 0.00025260999] *** *** finished computation of 25 references, err: Float32[Inf, 0.00047635523, 0.00025260999] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 14: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 14, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [1] (freq >= 1) [from [6, 0, 0]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 22 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 2, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.00023189858] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00023189858, 9.906034f-5] *** *** finished computation of 25 references, err: Float32[Inf, 0.00023189858, 9.906034f-5] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 5: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 17 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00048622472] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00048622472, 0.00023447562] *** *** finished computation of 30 references, err: Float32[Inf, 0.00048622472, 0.00023447562] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 10: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 10, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [1] (freq >= 1) [from [6, 0, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 24: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 29: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 26 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.0002789986] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.0002789986, 0.00014892734] *** *** finished computation of 30 references, err: Float32[Inf, 0.0002789986, 0.00014892734] *** *** center 1: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 17 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 6, 5, 1, :rand, 0.4, 3) *** starting iteration: 1; err: Float32[Inf, 0.0023312953] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.0023312953, 0.0016525378] *** *** finished computation of 5 references, err: Float32[Inf, 0.0023312953, 0.0016525378] *** *** center 1: selecting labels [2, 3] (freq >= 3) [from [0, 6, 5]] ** center: 1, normalized-entropy: 0.9940302114769566, [(2, 6), (3, 5)] *** center 2: selecting labels [2] (freq >= 3) [from [0, 10, 0]] *** center 3: selecting labels [1] (freq >= 3) [from [9, 0, 0]] *** center 4: selecting labels [1] (freq >= 3) [from [11, 0, 0]] *** center 5: selecting labels [3] (freq >= 3) [from [0, 1, 8]] finished with 6 centers; started with 5 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 6, 5, 1, :rand, 0.4, 3) *** starting iteration: 1; err: Float32[Inf, 0.0014253441] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.0014253441, 0.0010052226] *** *** finished computation of 5 references, err: Float32[Inf, 0.0014253441, 0.0010052226] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 2, 1] *** center 2: selecting labels [1] (freq >= 3) [from [11, 0, 0]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 1, 0] *** center 4: selecting labels [3] (freq >= 3) [from [0, 0, 9]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 3, freqs: [0, 1, 0] finished with 2 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 11, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.24931295] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807] *** *** starting iteration: 2; err: Float32[Inf, 0.24931295, 0.19531807] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808] *** *** starting iteration: 3; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155] *** *** starting iteration: 4; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236] *** *** starting iteration: 5; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767] *** *** starting iteration: 6; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286] *** *** starting iteration: 7; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085] *** *** starting iteration: 8; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685] *** *** starting iteration: 9; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685, 0.15121268] *** *** starting iteration: 10; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685, 0.15121268] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685, 0.15121268, 0.14316803] *** *** starting iteration: 11; err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685, 0.15121268, 0.14316803] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685, 0.15121268, 0.14316803, 0.14253931] *** *** finished computation of 30 references, err: Float32[Inf, 0.24931295, 0.19531807, 0.15927808, 0.15240155, 0.1435236, 0.16158767, 0.15027286, 0.14192085, 0.14713685, 0.15121268, 0.14316803, 0.14253931] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 6, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 17: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 24: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 25: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 26: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 27: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 29: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 30: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 29 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 11, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.10972091] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.10972091, 0.049746014] *** *** starting iteration: 2; err: Float32[Inf, 0.10972091, 0.049746014] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.10972091, 0.049746014, 0.049746014] *** *** finished computation of 30 references, err: Float32[Inf, 0.10972091, 0.049746014, 0.049746014] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 22 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 5, 7, :rand, 0.6, 7) *** starting iteration: 1; err: Float32[Inf, 0.64047235] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.5235249] *** *** starting iteration: 2; err: Float32[Inf, 0.64047235, 0.5235249] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.5235249, 0.5183117] *** *** starting iteration: 3; err: Float32[Inf, 0.64047235, 0.5235249, 0.5183117] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.5235249, 0.5183117, 0.51436746] *** *** starting iteration: 4; err: Float32[Inf, 0.64047235, 0.5235249, 0.5183117, 0.51436746] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.5235249, 0.5183117, 0.51436746, 0.51436746] *** *** finished computation of 5 references, err: Float32[Inf, 0.64047235, 0.5235249, 0.5183117, 0.51436746, 0.51436746] *** *** center 1: selecting labels [1] (freq >= 7) [from [8, 0, 0]] *** center 2: selecting labels [3] (freq >= 7) [from [0, 0, 9]] *** center 3: selecting labels [2] (freq >= 7) [from [0, 17, 4]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [5, 0, 0] *** center 5: selecting labels [1] (freq >= 7) [from [7, 0, 0]] finished with 4 centers; started with 5 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 5, 7, :rand, 0.6, 7) *** starting iteration: 1; err: Float32[Inf, 0.53792876] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.53792876, 0.443234] *** *** starting iteration: 2; err: Float32[Inf, 0.53792876, 0.443234] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.53792876, 0.443234, 0.44588742] *** *** starting iteration: 3; err: Float32[Inf, 0.53792876, 0.443234, 0.44588742] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.53792876, 0.443234, 0.44588742, 0.44684586] *** *** finished computation of 5 references, err: Float32[Inf, 0.53792876, 0.443234, 0.44588742, 0.44684586] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 5] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 3] *** center 3: selecting labels [1] (freq >= 7) [from [11, 0, 0]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 4, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 7, freqs: [0, 0, 2] finished with 1 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 5, 5, 13, :rand, 0.6, 10) *** starting iteration: 1; err: Float32[Inf, 0.5835521] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711] *** *** starting iteration: 2; err: Float32[Inf, 0.5835521, 0.6450711] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152] *** *** starting iteration: 3; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297] *** *** starting iteration: 4; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182] *** *** starting iteration: 5; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798] *** *** starting iteration: 6; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936] *** *** starting iteration: 7; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955] *** *** starting iteration: 8; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733] *** *** starting iteration: 9; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407] *** *** starting iteration: 10; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126] *** *** starting iteration: 11; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126, 0.5854895] *** *** starting iteration: 12; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126, 0.5854895] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126, 0.5854895, 0.6708508] *** *** starting iteration: 13; err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126, 0.5854895, 0.6708508] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126, 0.5854895, 0.6708508, 0.6831247] *** *** finished computation of 5 references, err: Float32[Inf, 0.5835521, 0.6450711, 0.7026152, 0.5859297, 0.6945182, 0.6429798, 0.611936, 0.6210955, 0.70620733, 0.6407, 0.59801126, 0.5854895, 0.6708508, 0.6831247] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [4, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 2] *** center 3: selecting labels [2, 3] (freq >= 10) [from [0, 10, 10]] ** center: 3, normalized-entropy: 1.0, [(2, 10), (3, 10)] *** center 4: selecting labels [1] (freq >= 10) [from [16, 0, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 4, 1] finished with 3 centers; started with 5 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 5, 5, 13, :rand, 0.6, 10) *** starting iteration: 1; err: Float32[Inf, 0.49349916] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.49349916, 0.85973966] *** *** starting iteration: 2; err: Float32[Inf, 0.49349916, 0.85973966] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.49349916, 0.85973966, 0.54252446] *** *** starting iteration: 3; err: Float32[Inf, 0.49349916, 0.85973966, 0.54252446] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.49349916, 0.85973966, 0.54252446, 0.6317416] *** *** starting iteration: 4; err: Float32[Inf, 0.49349916, 0.85973966, 0.54252446, 0.6317416] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.49349916, 0.85973966, 0.54252446, 0.6317416, 0.63128394] *** *** finished computation of 5 references, err: Float32[Inf, 0.49349916, 0.85973966, 0.54252446, 0.6317416, 0.63128394] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [5, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 5] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [5, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 4, 5] finished with 0 centers; started with 5 [ Info: ignoring configuration due to exception invalid setup on optimize!, n=0nothingKncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 2, 23, 1, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.00043746454] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00043746454, 0.00030057496] *** *** finished computation of 23 references, err: Float32[Inf, 0.00043746454, 0.00030057496] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 16, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 6]] *** center 18: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 21 centers; started with 23 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 2, 23, 1, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.00019021251] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00019021251, 0.00015647583] *** *** finished computation of 23 references, err: Float32[Inf, 0.00019021251, 0.00015647583] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 19 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 23, 13, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.0003556818] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.0003556818, 0.00024058815] *** *** finished computation of 23 references, err: Float32[Inf, 0.0003556818, 0.00024058815] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [7, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 8: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 17: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 19, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 20: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 23 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 23, 13, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.00018936355] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00018936355, 0.0001696392] *** *** finished computation of 23 references, err: Float32[Inf, 0.00018936355, 0.0001696392] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 18 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 12, 13, :rand, 0.6, 4) *** starting iteration: 1; err: Float32[Inf, 0.5197255] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972] *** *** starting iteration: 2; err: Float32[Inf, 0.5197255, 0.47308972] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767] *** *** starting iteration: 3; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765] *** *** starting iteration: 4; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432] *** *** starting iteration: 5; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613] *** *** starting iteration: 6; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732] *** *** starting iteration: 7; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737] *** *** starting iteration: 8; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875] *** *** starting iteration: 9; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957] *** *** starting iteration: 10; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587] *** *** starting iteration: 11; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587, 0.35907638] *** *** starting iteration: 12; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587, 0.35907638] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587, 0.35907638, 0.38567695] *** *** starting iteration: 13; err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587, 0.35907638, 0.38567695] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587, 0.35907638, 0.38567695, 0.40555134] *** *** finished computation of 12 references, err: Float32[Inf, 0.5197255, 0.47308972, 0.40446767, 0.40025765, 0.381432, 0.38893613, 0.3923732, 0.40525737, 0.35904875, 0.34022957, 0.3817587, 0.35907638, 0.38567695, 0.40555134] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 3, 0] *** center 2: selecting labels [1] (freq >= 4) [from [5, 0, 0]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 2] *** center 5: selecting labels [1] (freq >= 4) [from [5, 0, 0]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 9: selecting labels [1] (freq >= 4) [from [6, 0, 0]] *** center 10: selecting labels [3] (freq >= 4) [from [0, 1, 8]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 3, 1] *** center 12: selecting labels [2] (freq >= 4) [from [0, 10, 1]] finished with 5 centers; started with 12 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 12, 13, :rand, 0.6, 4) *** starting iteration: 1; err: Float32[Inf, 0.44227204] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136] *** *** starting iteration: 2; err: Float32[Inf, 0.44227204, 0.32928136] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239] *** *** starting iteration: 3; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289] *** *** starting iteration: 4; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867] *** *** starting iteration: 5; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833] *** *** starting iteration: 6; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867] *** *** starting iteration: 7; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625] *** *** starting iteration: 8; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352] *** *** starting iteration: 9; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477] *** *** starting iteration: 10; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475] *** *** starting iteration: 11; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475, 0.22769438] *** *** starting iteration: 12; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475, 0.22769438] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475, 0.22769438, 0.23273993] *** *** starting iteration: 13; err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475, 0.22769438, 0.23273993] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475, 0.22769438, 0.23273993, 0.23612513] *** *** finished computation of 12 references, err: Float32[Inf, 0.44227204, 0.32928136, 0.2706239, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.26510352, 0.24309477, 0.2305475, 0.22769438, 0.23273993, 0.23612513] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 2: selecting labels [1] (freq >= 4) [from [5, 0, 0]] *** center 3: selecting labels [3] (freq >= 4) [from [0, 0, 5]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [1, 0, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 3] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 2, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [2, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 4, freqs: [0, 2, 0] finished with 2 centers; started with 12 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 30, 1, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00035838166] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00035838166, 0.0002203997] *** *** finished computation of 30 references, err: Float32[Inf, 0.00035838166, 0.0002203997] *** *** center 1: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 17: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 22: selecting labels [2, 3] (freq >= 1) [from [0, 1, 4]] ** center: 22, normalized-entropy: 0.7219280948873623, [(2, 1), (3, 4)] *** center 23: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 26: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 29: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 30: selecting labels [3] (freq >= 1) [from [0, 0, 1]] finished with 26 centers; started with 30 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 30, 1, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.0003055576] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.0003055576, 0.0001308863] *** *** finished computation of 30 references, err: Float32[Inf, 0.0003055576, 0.0001308863] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 25: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 26: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 27: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 28: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 21 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 5, 23, 13, :rand, 0.6, 1) *** starting iteration: 1; err: Float32[Inf, 0.0003644982] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.0003644982, 0.00027221514] *** *** finished computation of 23 references, err: Float32[Inf, 0.0003644982, 0.00027221514] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 7: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 7, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 5]] *** center 15: selecting labels [1] (freq >= 1) [from [6, 0, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 19: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 20 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 5, 23, 13, :rand, 0.6, 1) *** starting iteration: 1; err: Float32[Inf, 7.177391f-5] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 7.177391f-5, 5.654793f-5] *** *** finished computation of 23 references, err: Float32[Inf, 7.177391f-5, 5.654793f-5] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 20 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00031240654] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00031240654, 0.00025478515] *** *** finished computation of 30 references, err: Float32[Inf, 0.00031240654, 0.00025478515] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 23: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 23, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 24: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 27: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 29: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 26 centers; started with 30 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, MedoidSelection{SqL2Distance}}(CosineDistance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00022814634] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00022814634, 0.0001539806] *** *** finished computation of 30 references, err: Float32[Inf, 0.00022814634, 0.0001539806] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 9: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 29: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 18 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 12, 1, :rand, 0.6, 1) *** starting iteration: 1; err: Float32[Inf, 0.0007017263] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.0007017263, 0.00052525866] *** *** finished computation of 12 references, err: Float32[Inf, 0.0007017263, 0.00052525866] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 2: selecting labels [2, 3] (freq >= 1) [from [0, 1, 11]] ** center: 2, normalized-entropy: 0.4138168503036336, [(2, 1), (3, 11)] *** center 3: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 7: selecting labels [1] (freq >= 1) [from [6, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 11, 0]] finished with 12 centers; started with 12 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 12, 1, :rand, 0.6, 1) *** starting iteration: 1; err: Float32[Inf, 0.0004888576] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.0004888576, 0.00037908816] *** *** finished computation of 12 references, err: Float32[Inf, 0.0004888576, 0.00037908816] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 9]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] finished with 12 centers; started with 12 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 2, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.26407376] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407376, 0.21226063] *** *** starting iteration: 2; err: Float32[Inf, 0.26407376, 0.21226063] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407376, 0.21226063, 0.19679902] *** *** starting iteration: 3; err: Float32[Inf, 0.26407376, 0.21226063, 0.19679902] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407376, 0.21226063, 0.19679902, 0.19554844] *** *** starting iteration: 4; err: Float32[Inf, 0.26407376, 0.21226063, 0.19679902, 0.19554844] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407376, 0.21226063, 0.19679902, 0.19554844, 0.19554844] *** *** finished computation of 25 references, err: Float32[Inf, 0.26407376, 0.21226063, 0.19679902, 0.19554844, 0.19554844] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 23: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 23, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 24: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 24 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 2, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.144937] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.144937, 0.13775364] *** *** starting iteration: 2; err: Float32[Inf, 0.144937, 0.13775364] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.144937, 0.13775364, 0.140931] *** *** starting iteration: 3; err: Float32[Inf, 0.144937, 0.13775364, 0.140931] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.144937, 0.13775364, 0.140931, 0.140931] *** *** finished computation of 25 references, err: Float32[Inf, 0.144937, 0.13775364, 0.140931, 0.140931] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] finished with 19 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, MedoidSelection{SqL2Distance}}(L1Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 6, 5, 1, :rand, 0.4, 10) *** starting iteration: 1; err: Float32[Inf, 1.0899999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.0899999, 1.2900002] *** *** finished computation of 5 references, err: Float32[Inf, 1.0899999, 1.2900002] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 3, 4] *** center 2: selecting labels [2] (freq >= 10) [from [0, 13, 6]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [9, 1, 0] *** center 4: selecting labels [1] (freq >= 10) [from [11, 0, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 3] finished with 2 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, MedoidSelection{SqL2Distance}}(L1Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 6, 5, 1, :rand, 0.4, 10) *** starting iteration: 1; err: Float32[Inf, 2.456] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 2.456, 0.992] *** *** finished computation of 5 references, err: Float32[Inf, 2.456, 0.992] *** *** center 1: selecting labels [1] (freq >= 10) [from [11, 0, 0]] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 4, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 2] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 6] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 10, freqs: [0, 0, 1] finished with 1 centers; started with 5 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 SearchModels iteration 2> population: 16, bsize: 8, queue: 12, observed: 59, best-error: 0.020000000000000018 worst-error: 0.20999999999999996 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 2, 25, 10, :rand, 0.13333333333333333, 1) *** starting iteration: 1; err: Float32[Inf, 0.355911] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523] *** *** starting iteration: 2; err: Float32[Inf, 0.355911, 0.28418523] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552] *** *** starting iteration: 3; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289] *** *** starting iteration: 4; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703] *** *** starting iteration: 5; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057] *** *** starting iteration: 6; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642] *** *** starting iteration: 7; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518] *** *** starting iteration: 8; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518, 0.23767902] *** *** starting iteration: 9; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518, 0.23767902] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518, 0.23767902, 0.21061434] *** *** starting iteration: 10; err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518, 0.23767902, 0.21061434] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518, 0.23767902, 0.21061434, 0.19740185] *** *** finished computation of 25 references, err: Float32[Inf, 0.355911, 0.28418523, 0.23325552, 0.22485289, 0.22983703, 0.21387057, 0.22043642, 0.20268518, 0.23767902, 0.21061434, 0.19740185] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 8: selecting labels [2, 3] (freq >= 1) [from [0, 1, 5]] ** center: 8, normalized-entropy: 0.6500224216483541, [(2, 1), (3, 5)] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 5]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 17: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 25: selecting labels [1] (freq >= 1) [from [2, 0, 0]] finished with 25 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, RandomCenterSelection}(L2Distance(), RandomCenterSelection(), 2, 25, 10, :rand, 0.13333333333333333, 1) *** starting iteration: 1; err: Float32[Inf, 0.23311453] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942] *** *** starting iteration: 2; err: Float32[Inf, 0.23311453, 0.18712942] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942, 0.14163005] *** *** starting iteration: 3; err: Float32[Inf, 0.23311453, 0.18712942, 0.14163005] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625] *** *** starting iteration: 4; err: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835] *** *** starting iteration: 5; err: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835, 0.07185596] *** *** starting iteration: 6; err: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835, 0.07185596] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667] *** *** starting iteration: 7; err: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667, 0.059829667] *** *** finished computation of 25 references, err: Float32[Inf, 0.23311453, 0.18712942, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667, 0.059829667] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 9: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 19: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] finished with 19 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 20, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.22743429] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856085] *** *** starting iteration: 2; err: Float32[Inf, 0.22743429, 0.16856085] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856085, 0.15437402] *** *** starting iteration: 3; err: Float32[Inf, 0.22743429, 0.16856085, 0.15437402] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856085, 0.15437402, 0.14867747] *** *** starting iteration: 4; err: Float32[Inf, 0.22743429, 0.16856085, 0.15437402, 0.14867747] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856085, 0.15437402, 0.14867747, 0.14884906] *** *** finished computation of 30 references, err: Float32[Inf, 0.22743429, 0.16856085, 0.15437402, 0.14867747, 0.14884906] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 11: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 21: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 24: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 25: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 25, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 26: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 27: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 28: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 29: selecting labels [2] (freq >= 1) [from [0, 6, 0]] *** center 30: selecting labels [3] (freq >= 1) [from [0, 0, 1]] finished with 28 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 20, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.12558253] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.12558253, 0.07818934] *** *** starting iteration: 2; err: Float32[Inf, 0.12558253, 0.07818934] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.12558253, 0.07818934, 0.07818934] *** *** finished computation of 30 references, err: Float32[Inf, 0.12558253, 0.07818934, 0.07818934] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [2, 3] (freq >= 1) [from [0, 2, 1]] ** center: 4, normalized-entropy: 0.9182958340544894, [(2, 2), (3, 1)] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 26: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 27: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 21 centers; started with 30 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 9, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00030087557] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00030087557, 0.00015021773] *** *** finished computation of 30 references, err: Float32[Inf, 0.00030087557, 0.00015021773] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 20, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 21: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 27: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 29: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 30: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 25 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 9, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00012820511] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00012820511, 6.1920065f-5] *** *** finished computation of 30 references, err: Float32[Inf, 0.00012820511, 6.1920065f-5] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 22: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 21 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 2, 23, 1, :rand, 0.15000000000000002, 1) *** starting iteration: 1; err: Float32[Inf, 0.38012818] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.38012818, 0.27403724] *** *** finished computation of 23 references, err: Float32[Inf, 0.38012818, 0.27403724] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 17: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 21, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 22: selecting labels [2] (freq >= 1) [from [0, 12, 0]] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 20 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 2, 23, 1, :rand, 0.15000000000000002, 1) *** starting iteration: 1; err: Float32[Inf, 0.28318238] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.28318238, 0.15537831] *** *** finished computation of 23 references, err: Float32[Inf, 0.28318238, 0.15537831] *** *** center 1: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 3: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 3, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [1] (freq >= 1) [from [2, 0, 0]] finished with 16 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 2, 25, 10, :rand, 0.2, 2) *** starting iteration: 1; err: Float32[Inf, 0.00037721905] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00037721905, 0.00024663255] *** *** finished computation of 25 references, err: Float32[Inf, 0.00037721905, 0.00024663255] *** *** center 1: selecting labels [1] (freq >= 2) [from [4, 0, 0]] *** center 2: selecting labels [2] (freq >= 2) [from [0, 2, 0]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 4: selecting labels [3] (freq >= 2) [from [0, 0, 3]] *** center 5: selecting labels [1] (freq >= 2) [from [3, 0, 0]] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 7: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 8: selecting labels [1] (freq >= 2) [from [4, 0, 0]] *** center 9: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 11: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 12: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 20: selecting labels [3] (freq >= 2) [from [0, 1, 2]] *** center 21: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 22: selecting labels [3] (freq >= 2) [from [0, 0, 3]] *** center 23: selecting labels [3] (freq >= 2) [from [0, 0, 3]] *** center 24: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] finished with 14 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 2, 25, 10, :rand, 0.2, 2) *** starting iteration: 1; err: Float32[Inf, 0.00025056954] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00025056954, 0.00016231561] *** *** finished computation of 25 references, err: Float32[Inf, 0.00025056954, 0.00016231561] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 5: selecting labels [2] (freq >= 2) [from [0, 2, 0]] *** center 6: selecting labels [1] (freq >= 2) [from [5, 0, 0]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 25: selecting labels [1] (freq >= 2) [from [2, 0, 0]] finished with 3 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.38999996] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.38999996, 0.34733334] *** *** starting iteration: 2; err: Float32[Inf, 0.38999996, 0.34733334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.38999996, 0.34733334, 0.32599998] *** *** starting iteration: 3; err: Float32[Inf, 0.38999996, 0.34733334, 0.32599998] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.38999996, 0.34733334, 0.32599998, 0.32599998] *** *** finished computation of 25 references, err: Float32[Inf, 0.38999996, 0.34733334, 0.32599998, 0.32599998] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 12, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 13: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 24: selecting labels [2, 3] (freq >= 1) [from [0, 1, 4]] ** center: 24, normalized-entropy: 0.7219280948873623, [(2, 1), (3, 4)] *** center 25: selecting labels [2] (freq >= 1) [from [0, 1, 0]] finished with 27 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 3, 25, 10, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.22800002] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.22800002, 0.208] *** *** starting iteration: 2; err: Float32[Inf, 0.22800002, 0.208] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.22800002, 0.208, 0.18400002] *** *** starting iteration: 3; err: Float32[Inf, 0.22800002, 0.208, 0.18400002] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.22800002, 0.208, 0.18400002, 0.186] *** *** starting iteration: 4; err: Float32[Inf, 0.22800002, 0.208, 0.18400002, 0.186] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.22800002, 0.208, 0.18400002, 0.186, 0.186] *** *** finished computation of 25 references, err: Float32[Inf, 0.22800002, 0.208, 0.18400002, 0.186, 0.186] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 10: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 17 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 11, 30, 13, :rand, 1.0, 1) *** starting iteration: 1; err: Float32[Inf, 0.2265665] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857] *** *** starting iteration: 2; err: Float32[Inf, 0.2265665, 0.19315857] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031] *** *** starting iteration: 3; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738] *** *** starting iteration: 4; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 5; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 6; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 7; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 8; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 9; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 10; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 11; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 12; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 13; err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** finished computation of 30 references, err: Float32[Inf, 0.2265665, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [1] (freq >= 1) [from [6, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [2, 3] (freq >= 1) [from [0, 2, 1]] ** center: 11, normalized-entropy: 0.9182958340544894, [(2, 2), (3, 1)] *** center 12: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 21: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 24: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 25: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 26: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 27: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 29: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 30: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 28 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 11, 30, 13, :rand, 1.0, 1) *** starting iteration: 1; err: Float32[Inf, 0.09089914] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.09089914, 0.076011695] *** *** starting iteration: 2; err: Float32[Inf, 0.09089914, 0.076011695] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.09089914, 0.076011695, 0.076011695] *** *** finished computation of 30 references, err: Float32[Inf, 0.09089914, 0.076011695, 0.076011695] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 28: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 29: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 30: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 20 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 4, 23, 13, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.00056035334] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00056035334, 0.00035880524] *** *** finished computation of 23 references, err: Float32[Inf, 0.00056035334, 0.00035880524] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 8: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 8, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 20: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 21: selecting labels [1] (freq >= 1) [from [8, 0, 0]] *** center 22: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 21 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 4, 23, 13, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.0003400232] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.0003400232, 0.0002087568] *** *** finished computation of 23 references, err: Float32[Inf, 0.0003400232, 0.0002087568] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 18 centers; started with 23 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 11, 23, 1, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.26920658] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.26920658, 0.27793622] *** *** finished computation of 23 references, err: Float32[Inf, 0.26920658, 0.27793622] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 6, 0]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 10: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 6, 0]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [2, 3] (freq >= 1) [from [0, 3, 1]] ** center: 18, normalized-entropy: 0.8112781244591328, [(2, 3), (3, 1)] *** center 19: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 23: selecting labels [2, 3] (freq >= 1) [from [0, 1, 3]] ** center: 23, normalized-entropy: 0.8112781244591328, [(2, 1), (3, 3)] finished with 21 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 11, 23, 1, :rand, 0.1, 1) *** starting iteration: 1; err: Float32[Inf, 0.11397536] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.11397536, 0.089372665] *** *** finished computation of 23 references, err: Float32[Inf, 0.11397536, 0.089372665] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 18, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 19: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] finished with 19 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 2, 25, 13, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.0004421639] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.0004421639, 0.00024831423] *** *** finished computation of 25 references, err: Float32[Inf, 0.0004421639, 0.00024831423] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 4: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 6: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 6, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 7: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 19: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 23: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 22 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 2, 25, 13, :rand, 0.2, 1) *** starting iteration: 1; err: Float32[Inf, 0.00026615197] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00026615197, 0.0001784236] *** *** finished computation of 25 references, err: Float32[Inf, 0.00026615197, 0.0001784236] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] finished with 18 centers; started with 25 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 25, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00026655852] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00026655852, 0.0001807217] *** *** finished computation of 25 references, err: Float32[Inf, 0.00026655852, 0.0001807217] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 11: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 12: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 3]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 17: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 18: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 20: selecting labels [2, 3] (freq >= 1) [from [0, 1, 4]] ** center: 20, normalized-entropy: 0.7219280948873623, [(2, 1), (3, 4)] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 24 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(CosineDistance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 25, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00030408078] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00030408078, 0.00014838444] *** *** finished computation of 25 references, err: Float32[Inf, 0.00030408078, 0.00014838444] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 11: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 18 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.21441746] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813] *** *** starting iteration: 2; err: Float32[Inf, 0.21441746, 0.20478813] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237] *** *** starting iteration: 3; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898] *** *** starting iteration: 4; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436] *** *** starting iteration: 5; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898] *** *** starting iteration: 6; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** starting iteration: 7; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** starting iteration: 8; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** starting iteration: 9; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** starting iteration: 10; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** starting iteration: 11; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** starting iteration: 12; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** starting iteration: 13; err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** finished computation of 30 references, err: Float32[Inf, 0.21441746, 0.20478813, 0.18253237, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898, 0.17006436, 0.17119898] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [1] (freq >= 1) [from [5, 0, 0]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 10: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 20: selecting labels [2, 3] (freq >= 1) [from [0, 3, 1]] ** center: 20, normalized-entropy: 0.8112781244591328, [(2, 3), (3, 1)] *** center 21: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [2, 3] (freq >= 1) [from [0, 1, 2]] ** center: 23, normalized-entropy: 0.9182958340544894, [(2, 1), (3, 2)] *** center 24: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 25: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 28: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: selecting labels [3] (freq >= 1) [from [0, 0, 2]] finished with 28 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 7, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.12239504] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.12239504, 0.07404584] *** *** starting iteration: 2; err: Float32[Inf, 0.12239504, 0.07404584] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.12239504, 0.07404584, 0.07404584] *** *** finished computation of 30 references, err: Float32[Inf, 0.12239504, 0.07404584, 0.07404584] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 25: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 21 centers; started with 30 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 SearchModels iteration 3> population: 16, bsize: 8, queue: 12, observed: 71, best-error: 0.020000000000000018 worst-error: 0.050000000000000044 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 11, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.0004180732] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.0004180732, 0.00033117525] *** *** finished computation of 30 references, err: Float32[Inf, 0.0004180732, 0.00033117525] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 9: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 13: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 16: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [2] (freq >= 1) [from [0, 4, 0]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 26: selecting labels [2, 3] (freq >= 1) [from [0, 1, 7]] ** center: 26, normalized-entropy: 0.5435644431995963, [(2, 1), (3, 7)] *** center 27: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 29: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 30: selecting labels [1] (freq >= 1) [from [5, 0, 0]] finished with 24 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{CosineDistance, RandomCenterSelection}(CosineDistance(), RandomCenterSelection(), 11, 30, 13, :rand, 0.7, 1) *** starting iteration: 1; err: Float32[Inf, 0.00015720345] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00015720345, 1.8816296f-5] *** *** finished computation of 30 references, err: Float32[Inf, 0.00015720345, 1.8816296f-5] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 4: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 5: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 14: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 15: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 18: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 21: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 28: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 29: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 22 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, CentroidSelection}(L1Distance(), CentroidSelection(), 7, 30, 13, :rand, 0.7, 2) *** starting iteration: 1; err: Float32[Inf, 0.35399997] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.35399997, 0.31242853] *** *** starting iteration: 2; err: Float32[Inf, 0.35399997, 0.31242853] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.35399997, 0.31242853, 0.2693333] *** *** starting iteration: 3; err: Float32[Inf, 0.35399997, 0.31242853, 0.2693333] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.35399997, 0.31242853, 0.2693333, 0.26] *** *** starting iteration: 4; err: Float32[Inf, 0.35399997, 0.31242853, 0.2693333, 0.26] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.35399997, 0.31242853, 0.2693333, 0.26, 0.26] *** *** finished computation of 30 references, err: Float32[Inf, 0.35399997, 0.31242853, 0.2693333, 0.26, 0.26] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 3: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 5: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 6: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 9: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 10: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 14: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 17: selecting labels [1] (freq >= 2) [from [7, 0, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 19: selecting labels [2] (freq >= 2) [from [0, 6, 0]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 28: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 30: selecting labels [3] (freq >= 2) [from [0, 0, 3]] finished with 10 centers; started with 30 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, CentroidSelection}(L1Distance(), CentroidSelection(), 7, 30, 13, :rand, 0.7, 2) *** starting iteration: 1; err: Float32[Inf, 0.304] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.304, 0.23266667] *** *** starting iteration: 2; err: Float32[Inf, 0.304, 0.23266667] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.304, 0.23266667, 0.19400002] *** *** starting iteration: 3; err: Float32[Inf, 0.304, 0.23266667, 0.19400002] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.304, 0.23266667, 0.19400002, 0.19400002] *** *** finished computation of 30 references, err: Float32[Inf, 0.304, 0.23266667, 0.19400002, 0.19400002] *** *** center 1: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 3: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 7: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 9: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 12: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 24: selecting labels [1] (freq >= 2) [from [4, 0, 0]] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 27: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 28: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 29: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 30: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] finished with 5 centers; started with 30 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 2, 23, 1, :rand, 0.10000000000000002, 1) *** starting iteration: 1; err: Float32[Inf, 0.27247655] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.27247655, 0.21669407] *** *** finished computation of 23 references, err: Float32[Inf, 0.27247655, 0.21669407] *** *** center 1: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 2: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 3: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 6: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 7: selecting labels [2] (freq >= 1) [from [0, 5, 0]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 10: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 13: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 14: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 15: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 17: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 4]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 23: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 23, normalized-entropy: 1.0, [(2, 1), (3, 1)] finished with 23 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 2, 23, 1, :rand, 0.10000000000000002, 1) *** starting iteration: 1; err: Float32[Inf, 0.21969593] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.21969593, 0.16734391] *** *** finished computation of 23 references, err: Float32[Inf, 0.21969593, 0.16734391] *** *** center 1: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 5: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 8: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 9: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 15: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 16: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 17: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 20: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 22: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] finished with 16 centers; started with 23 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 5, 25, 10, :rand, 0.2, 2) *** starting iteration: 1; err: Float32[Inf, 0.376] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666] *** *** starting iteration: 2; err: Float32[Inf, 0.376, 0.34466666] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664] *** *** starting iteration: 3; err: Float32[Inf, 0.376, 0.34466666, 0.33666664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667] *** *** starting iteration: 4; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667] *** *** starting iteration: 5; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334] *** *** starting iteration: 6; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334] *** *** starting iteration: 7; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334] *** *** starting iteration: 8; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334, 0.32933334] *** *** starting iteration: 9; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334, 0.32933334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334, 0.32933334, 0.3313334] *** *** starting iteration: 10; err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334, 0.32933334, 0.3313334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334, 0.32933334, 0.3313334, 0.32933334] *** *** finished computation of 25 references, err: Float32[Inf, 0.376, 0.34466666, 0.33666664, 0.3326667, 0.32966667, 0.3313334, 0.32933334, 0.3313334, 0.32933334, 0.3313334, 0.32933334] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 2: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 4: selecting labels [2] (freq >= 2) [from [0, 2, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 6: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 7: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 9: selecting labels [3] (freq >= 2) [from [0, 0, 3]] *** center 10: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 11: selecting labels [2] (freq >= 2) [from [0, 3, 0]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 13: selecting labels [1] (freq >= 2) [from [5, 0, 0]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 15: selecting labels [1] (freq >= 2) [from [3, 0, 0]] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 18: selecting labels [1] (freq >= 2) [from [8, 0, 0]] *** center 19: selecting labels [3] (freq >= 2) [from [0, 1, 3]] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 22: selecting labels [2] (freq >= 2) [from [0, 5, 0]] *** center 23: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] finished with 10 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L1Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(L1Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001))), 5, 25, 10, :rand, 0.2, 2) *** starting iteration: 1; err: Float32[Inf, 0.23200002] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23200002, 0.19400002] *** *** starting iteration: 2; err: Float32[Inf, 0.23200002, 0.19400002] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23200002, 0.19400002, 0.18800001] *** *** starting iteration: 3; err: Float32[Inf, 0.23200002, 0.19400002, 0.18800001] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23200002, 0.19400002, 0.18800001, 0.18800001] *** *** finished computation of 25 references, err: Float32[Inf, 0.23200002, 0.19400002, 0.18800001, 0.18800001] *** *** center 1: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 2: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 3: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 4: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 6: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 7: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 8: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 9: selecting labels [1] (freq >= 2) [from [2, 0, 0]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 11: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 13: selecting labels [3] (freq >= 2) [from [0, 0, 2]] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 15: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 16: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] *** center 17: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 18: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 19: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 1] *** center 20: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 21: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 22: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 0, 0] *** center 24: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [1, 0, 0] *** center 25: ignoring all elements because minimum-frequency restrictions were not met, freq >= 2, freqs: [0, 1, 0] finished with 6 centers; started with 25 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=1 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 30, 9, :rand, 0.4666666666666666, 1) *** starting iteration: 1; err: Float32[Inf, 0.20336649] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207] *** *** starting iteration: 2; err: Float32[Inf, 0.20336649, 0.1899207] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329] *** *** starting iteration: 3; err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344] *** *** starting iteration: 4; err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343] *** *** starting iteration: 5; err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002] *** *** starting iteration: 6; err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002, 0.14996843] *** *** starting iteration: 7; err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002, 0.14996843] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002, 0.14996843, 0.14736457] *** *** starting iteration: 8; err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002, 0.14996843, 0.14736457] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002, 0.14996843, 0.14736457, 0.14820148] *** *** finished computation of 30 references, err: Float32[Inf, 0.20336649, 0.1899207, 0.16834329, 0.16418344, 0.152343, 0.15532002, 0.14996843, 0.14736457, 0.14820148] *** *** center 1: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 2: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 4: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 5: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 6: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 9: selecting labels [2, 3] (freq >= 1) [from [0, 2, 1]] ** center: 9, normalized-entropy: 0.9182958340544894, [(2, 2), (3, 1)] *** center 10: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 11: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 12: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 13: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 14: selecting labels [2, 3] (freq >= 1) [from [0, 1, 1]] ** center: 14, normalized-entropy: 1.0, [(2, 1), (3, 1)] *** center 15: selecting labels [2] (freq >= 1) [from [0, 3, 0]] *** center 16: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 17: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 18: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 19: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 20: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 21: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 22: selecting labels [2] (freq >= 1) [from [0, 2, 0]] *** center 23: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 24: selecting labels [1] (freq >= 1) [from [1, 0, 0]] *** center 25: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 26: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 27: selecting labels [1] (freq >= 1) [from [2, 0, 0]] *** center 28: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 29: selecting labels [1] (freq >= 1) [from [4, 0, 0]] *** center 30: selecting labels [1] (freq >= 1) [from [7, 0, 0]] finished with 29 centers; started with 30 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 [ Info: precision is zero for label '1.0'; #classes=2 [ Info: precision is zero for label '0.0'; #classes=2 KncProto> clustering data without knowing labelsKncProtoConfig{L2Distance, MedoidSelection{SqL2Distance}}(L2Distance(), MedoidSelection{SqL2Distance}(SqL2Distance(), 0.5f0), 7, 30, 9, :rand, 0.4666666666666666, 1) *** starting iteration: 1; err: Float32[Inf, 0.1686594] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438] *** *** starting iteration: 2; err: Float32[Inf, 0.1686594, 0.1185438] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566] *** *** starting iteration: 3; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289] *** *** starting iteration: 4; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504] *** *** starting iteration: 5; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555] *** *** starting iteration: 6; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387] *** *** starting iteration: 7; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387, 0.09265174] *** *** starting iteration: 8; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387, 0.09265174] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387, 0.09265174, 0.10605629] *** *** starting iteration: 9; err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387, 0.09265174, 0.10605629] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387, 0.09265174, 0.10605629, 0.09592513] *** *** finished computation of 30 references, err: Float32[Inf, 0.1686594, 0.1185438, 0.109876566, 0.12033289, 0.10869504, 0.104417555, 0.09756387, 0.09265174, 0.10605629, 0.09592513] *** *** center 1: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 2: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 3: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 4: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 5: selecting labels [1] (freq >= 1) [from [3, 0, 0]] *** center 6: selecting labels [2] (freq >= 1) [from [0, 1, 0]] *** center 7: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 8: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 9: selecting labels [3] (freq >= 1) [from [0, 0, 1]] *** center 10: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 11: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 12: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 13: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 14: ignoring all elements because minimum-frequency restrictions were not met, freq >= 1, freqs: [0, 0, 0] *** center 15: selecting labels [3] (freq >= 1) [from [0, 0, 2]] *** center 16: PkgEval terminated after 758.79s: test log exceeded the size limit