Package evaluation to test KNearestCenters on Julia 1.13.0-alpha2.30 (5abf758bb1*) started at 2026-01-09T10:20:42.419 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.39s ################################################################################ # Installation # Installing KNearestCenters... Resolving package versions... Installed CompositionsBase ───────────────── v0.1.2 Installed CommonWorldInvalidations ───────── v1.0.0 Installed NameResolution ─────────────────── v0.1.5 Installed MicroCollections ───────────────── v0.2.0 Installed MacroTools ─────────────────────── v0.5.16 Installed DataStructures ─────────────────── v0.18.22 Installed MLDataUtils ────────────────────── v0.5.4 Installed SimilaritySearch ───────────────── v0.12.3 Installed DefineSingletons ───────────────── v0.1.2 Installed ManualMemory ───────────────────── v0.1.8 Installed Adapt ──────────────────────────── v4.4.0 Installed InlineStrings ──────────────────── v1.4.5 Installed DelimitedFiles ─────────────────── v1.9.1 Installed JLD2 ───────────────────────────── v0.4.55 Installed ConstructionBase ───────────────── v1.6.0 Installed FLoops ─────────────────────────── v0.2.2 Installed ContextVariablesX ──────────────── v0.1.3 Installed BitTwiddlingConvenienceFunctions ─ v0.1.6 Installed JuliaVariables ─────────────────── v0.2.4 Installed SIMDTypes ──────────────────────── v0.1.0 Installed KNearestCenters ────────────────── v0.8.0 Installed ArrayInterface ─────────────────── v7.22.0 Installed OrderedCollections ─────────────── v1.8.1 Installed StatsBase ──────────────────────── v0.33.21 Installed TranscodingStreams ─────────────── v0.11.3 Installed HashArrayMappedTries ───────────── v0.2.0 Installed Compat ─────────────────────────── v4.18.1 Installed StrideArraysCore ───────────────── v0.5.8 Installed IteratorInterfaceExtensions ────── v1.0.0 Installed RecipesBase ────────────────────── v1.3.4 Installed DataAPI ────────────────────────── v1.16.0 Installed InvertedIndices ────────────────── v1.3.1 Installed MLLabelUtils ───────────────────── v0.5.7 Installed Statistics ─────────────────────── v1.11.1 Installed NNlib ──────────────────────────── v0.9.32 Installed InitialValues ──────────────────── v0.3.1 Installed Atomix ─────────────────────────── v1.1.2 Installed StatsAPI ───────────────────────── v1.8.0 Installed DataValueInterfaces ────────────── v1.0.0 Installed PrecompileTools ────────────────── v1.3.3 Installed CpuId ──────────────────────────── v0.3.1 Installed SentinelArrays ─────────────────── v1.4.9 Installed ProgressMeter ──────────────────── v1.11.0 Installed MLCore ─────────────────────────── v1.0.0 Installed ArgCheck ───────────────────────── v2.5.0 Installed FileIO ─────────────────────────── v1.17.1 Installed LayoutPointers ─────────────────── v0.1.17 Installed MLUtils ────────────────────────── v0.4.8 Installed StaticArrays ───────────────────── v1.9.16 Installed StaticArraysCore ───────────────── v1.4.4 Installed PrettyPrint ────────────────────── v0.2.0 Installed IrrationalConstants ────────────── v0.2.6 Installed Distances ──────────────────────── v0.10.12 Installed ChainRulesCore ─────────────────── v1.26.0 Installed GPUArraysCore ──────────────────── v0.2.0 Installed BangBang ───────────────────────── v0.4.6 Installed StringManipulation ─────────────── v0.4.2 Installed StaticArrayInterface ───────────── v1.8.0 Installed CPUSummary ─────────────────────── v0.2.7 Installed SciMLPublic ────────────────────── v1.0.1 Installed Requires ───────────────────────── v1.3.1 Installed SimpleTraits ───────────────────── v0.9.5 Installed FLoopsBase ─────────────────────── v0.1.1 Installed LogExpFunctions ────────────────── v0.3.29 Installed ScopedValues ───────────────────── v1.5.0 Installed IfElse ─────────────────────────── v0.1.1 Installed MLDataPattern ──────────────────── v0.5.4 Installed Parameters ─────────────────────── v0.12.3 Installed KernelAbstractions ─────────────── v0.9.39 Installed UnsafeAtomics ──────────────────── v0.3.0 Installed PrettyTables ───────────────────── v3.1.2 Installed SplittablesBase ────────────────── v0.1.15 Installed LossFunctions ──────────────────── v0.8.1 Installed Polyester ──────────────────────── v0.7.18 Installed Tables ─────────────────────────── v1.12.1 Installed CloseOpenIntervals ─────────────── v0.1.13 Installed Transducers ────────────────────── v0.4.85 Installed Setfield ───────────────────────── v1.1.2 Installed Reexport ───────────────────────── v1.2.2 Installed InverseFunctions ───────────────── v0.1.17 Installed Missings ───────────────────────── v1.2.0 Installed Static ─────────────────────────── v1.3.1 Installed Preferences ────────────────────── v1.5.1 Installed Baselet ────────────────────────── v0.1.1 Installed DataFrames ─────────────────────── v1.8.1 Installed PooledArrays ───────────────────── v1.4.3 Installed LearnBase ──────────────────────── v0.3.0 Installed ShowCases ──────────────────────── v0.1.0 Installed SearchModels ───────────────────── v0.4.1 Installed TableTraits ────────────────────── v1.0.1 Installed LaTeXStrings ───────────────────── v1.4.0 Installed MappedArrays ───────────────────── v0.4.3 Installed Crayons ────────────────────────── v4.1.1 Installed SortingAlgorithms ──────────────── v1.2.2 Installed ThreadingUtilities ─────────────── v0.5.5 Installed KCenters ───────────────────────── v0.10.0 Installed CategoricalArrays ──────────────── v0.10.8 Installed UnPack ─────────────────────────── v1.0.2 Installed PolyesterWeave ─────────────────── v0.2.2 Installed MLStyle ────────────────────────── v0.4.17 Installed DocStringExtensions ────────────── v0.9.5 Installed Accessors ──────────────────────── v0.1.43 Updating `~/.julia/environments/v1.13/Project.toml` [4dca28ae] + KNearestCenters v0.8.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [7d9f7c33] + Accessors v0.1.43 [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 v0.9.39 [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 v0.4.3 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.32 [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 v1.5.1 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v3.1.2 [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 v1.0.1 [7e506255] + ScopedValues v1.5.0 ⌅ [0e966ebe] + SearchModels v0.4.1 [91c51154] + SentinelArrays v1.4.9 [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 v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [7792a7ef] + StrideArraysCore v0.5.8 [892a3eda] + StringManipulation v0.4.2 [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 v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.46.0+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 v17.7.0+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 8.74s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4369.0 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 697.48s ################################################################################ # Testing # Testing KNearestCenters Status `/tmp/jl_CBBuYm/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 v1.8.0 ⌅ [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_CBBuYm/Manifest.toml` [7d9f7c33] Accessors v0.1.43 [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 v0.9.39 [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 v0.4.3 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.32 [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 v1.5.1 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v3.1.2 [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 v1.0.1 [7e506255] ScopedValues v1.5.0 ⌅ [0e966ebe] SearchModels v0.4.1 [91c51154] SentinelArrays v1.4.9 [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 v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [7792a7ef] StrideArraysCore v0.5.8 [892a3eda] StringManipulation v0.4.2 [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 v2025.12.2 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.46.0+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 v17.7.0+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 0.1s 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 19.2s Test Summary: | Pass Total Time Compat bounds | 4 4 0.4s Test Summary: | Pass Total Time Piracy | 1 1 0.1s Test Summary: | Pass Total Time Persistent tasks | 1 1 56.9s Test Summary: | Pass Total Time Scores | 9 9 1.8s ┌ 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: 6, observed: 17, best-error: 0.0357142857142857 worst-error: 0.2785714285714286 SearchModels iteration 2> population: 16, bsize: 8, queue: 4, observed: 21, best-error: 0.0357142857142857 worst-error: 0.22857142857142854 SearchModels iteration 3> population: 16, bsize: 8, queue: 2, observed: 23, best-error: 0.02857142857142858 worst-error: 0.16428571428571426 SearchModels iteration 4> population: 16, bsize: 8, queue: 0, observed: 23, best-error: 0.02857142857142858 worst-error: 0.11428571428571432 SearchModels> stop by convergence error=KncConfig{ReluKernel, L2Distance, KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}}(ReluKernel(), L2Distance(), KnnCentroidSelection{CentroidSelection, CentroidSelection, SqL2Distance}(CentroidSelection(), CentroidSelection(), SqL2Distance(), 0, GenericContext(KnnResult[KnnResult(IdWeight[], 32)], 0, InformativeLog(0.01, 0.0001)))) => 0.11428571428571432, iter=5 (of 16) === BEST MODEL:KncConfig{DirectKernel, CosineDistance, CentroidSelection}(DirectKernel(), CosineDistance(), CentroidSelection()) => 0.02857142857142858 Test Summary: | Pass Total Time NearestCenter search_models | 1 1 1m26.8s 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, 0.54690117] *** *** computing centroids *** *** computing 7 nearest references *** *** new score with 7 references: Float32[Inf, 0.54690117, 0.4607876] *** *** finished computation of 7 references, err: Float32[Inf, 0.54690117, 0.4607876] *** *** 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, 0.33583933] *** *** finished computation of 17 references, err: Float32[Inf, 0.3657299, 0.33583933] *** *** 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 32.7s 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, 0.0013113857] *** *** finished computation of 5 references, err: Float32[Inf, 0.0015005613, 0.0013113857] *** *** 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, 0.0013478106] *** *** finished computation of 5 references, err: Float32[Inf, 0.0012075937, 0.0013478106] *** *** 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, 0.00064919784] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.00064919784, 0.00059801136] *** *** finished computation of 12 references, err: Float32[Inf, 0.00064919784, 0.00059801136] *** *** 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, 0.00051014544] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.00051014544, 0.0004851713] *** *** finished computation of 12 references, err: Float32[Inf, 0.00051014544, 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, 0.28166667] *** *** starting iteration: 4; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 0.28366664] *** *** starting iteration: 5; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 0.28366664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 0.28366664, 0.28166664] *** *** starting iteration: 6; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 0.28366664, 0.28166664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 0.28366664, 0.28166664, 0.28366664] *** *** starting iteration: 7; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 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, 0.28166667, 0.28366664, 0.28166664, 0.28366664, 0.28166664] *** *** starting iteration: 8; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 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, 0.28166667, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664] *** *** starting iteration: 9; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 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, 0.28166667, 0.28366664, 0.28166664, 0.28366664, 0.28166664, 0.28366664, 0.28166664] *** *** starting iteration: 10; err: Float32[Inf, 0.35599998, 0.31266665, 0.28566664, 0.28166667, 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, 0.28166667, 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, 0.28166667, 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, 0.216] *** *** starting iteration: 3; err: Float32[Inf, 0.292, 0.22399999, 0.216] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.292, 0.22399999, 0.216, 0.216] *** *** finished computation of 25 references, err: Float32[Inf, 0.292, 0.22399999, 0.216, 0.216] *** *** 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, 0.59730315] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631] *** *** starting iteration: 2; err: Float32[Inf, 0.59730315, 0.5376631] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727] *** *** starting iteration: 3; err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864] *** *** starting iteration: 4; err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586] *** *** starting iteration: 5; err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213] *** *** starting iteration: 6; err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213, 0.5069172] *** *** starting iteration: 7; err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213, 0.5069172] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213, 0.5069172, 0.50249666] *** *** starting iteration: 8; err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213, 0.5069172, 0.50249666] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213, 0.5069172, 0.50249666, 0.5030479] *** *** finished computation of 5 references, err: Float32[Inf, 0.59730315, 0.5376631, 0.5309727, 0.52510864, 0.51726586, 0.5159213, 0.5069172, 0.50249666, 0.5030479] *** *** 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, 0.581554] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.581554, 0.5073624] *** *** starting iteration: 2; err: Float32[Inf, 0.581554, 0.5073624] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.581554, 0.5073624, 0.44396144] *** *** starting iteration: 3; err: Float32[Inf, 0.581554, 0.5073624, 0.44396144] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.581554, 0.5073624, 0.44396144, 0.44588742] *** *** starting iteration: 4; err: Float32[Inf, 0.581554, 0.5073624, 0.44396144, 0.44588742] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.581554, 0.5073624, 0.44396144, 0.44588742, 0.44684586] *** *** finished computation of 5 references, err: Float32[Inf, 0.581554, 0.5073624, 0.44396144, 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, 0.00036669878] *** *** computing centroids *** *** computing 24 nearest references *** *** new score with 24 references: Float32[Inf, 0.00036669878, 0.0002575382] *** *** finished computation of 24 references, err: Float32[Inf, 0.00036669878, 0.0002575382] *** *** 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, 0.00015700328] *** *** finished computation of 29 references, err: Float32[Inf, 0.00029169265, 0.00015700328] *** *** 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, 0.41295272] *** *** starting iteration: 4; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783] *** *** starting iteration: 5; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743] *** *** starting iteration: 6; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884] *** *** starting iteration: 7; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052] *** *** starting iteration: 8; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052, 0.3890104] *** *** starting iteration: 9; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052, 0.3890104] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052, 0.3890104, 0.4087733] *** *** starting iteration: 10; err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052, 0.3890104, 0.4087733] *** *** computing centroids *** *** computing 10 nearest references *** *** new score with 10 references: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052, 0.3890104, 0.4087733, 0.39347962] *** *** finished computation of 10 references, err: Float32[Inf, 0.4413022, 0.41985527, 0.41477993, 0.41295272, 0.40205783, 0.42028743, 0.40611884, 0.38554052, 0.3890104, 0.4087733, 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, 0.346] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.346, 0.30266666] *** *** starting iteration: 2; err: Float32[Inf, 0.346, 0.30266666] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.346, 0.30266666, 0.27466667] *** *** starting iteration: 3; err: Float32[Inf, 0.346, 0.30266666, 0.27466667] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.346, 0.30266666, 0.27466667, 0.27466667] *** *** finished computation of 31 references, err: Float32[Inf, 0.346, 0.30266666, 0.27466667, 0.27466667] *** *** 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, 0.16642028] *** *** starting iteration: 2; err: Float32[Inf, 0.20545886, 0.16642028] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642028, 0.15807556] *** *** starting iteration: 3; err: Float32[Inf, 0.20545886, 0.16642028, 0.15807556] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642028, 0.15807556, 0.15444292] *** *** starting iteration: 4; err: Float32[Inf, 0.20545886, 0.16642028, 0.15807556, 0.15444292] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20545886, 0.16642028, 0.15807556, 0.15444292, 0.15378708] *** *** finished computation of 31 references, err: Float32[Inf, 0.20545886, 0.16642028, 0.15807556, 0.15444292, 0.15378708] *** *** 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, 0.20291848] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291848, 0.1302745] *** *** starting iteration: 2; err: Float32[Inf, 0.20291848, 0.1302745] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291848, 0.1302745, 0.080018] *** *** starting iteration: 3; err: Float32[Inf, 0.20291848, 0.1302745, 0.080018] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018] *** *** starting iteration: 4; err: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018, 0.047971655] *** *** starting iteration: 5; err: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018, 0.047971655] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127] *** *** starting iteration: 6; err: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127] *** *** computing centroids *** *** computing 31 nearest references *** *** new score with 31 references: Float32[Inf, 0.20291848, 0.1302745, 0.080018, 0.068018, 0.047971655, 0.033941127, 0.033941127] *** *** finished computation of 31 references, err: Float32[Inf, 0.20291848, 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, 0.6649442] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569] *** *** starting iteration: 2; err: Float32[Inf, 0.6649442, 0.6301569] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569, 0.60728073] *** *** starting iteration: 3; err: Float32[Inf, 0.6649442, 0.6301569, 0.60728073] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683] *** *** starting iteration: 4; err: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064] *** *** starting iteration: 5; err: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064, 0.6005917] *** *** starting iteration: 6; err: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064, 0.6005917] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064, 0.6005917, 0.54363585] *** *** starting iteration: 7; err: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064, 0.6005917, 0.54363585] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064, 0.6005917, 0.54363585, 0.55903643] *** *** finished computation of 5 references, err: Float32[Inf, 0.6649442, 0.6301569, 0.60728073, 0.60510683, 0.5831064, 0.6005917, 0.54363585, 0.55903643] *** *** 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, 0.95094454] *** *** starting iteration: 2; err: Float32[Inf, 0.6293927, 0.95094454] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.95094454, 0.70783037] *** *** starting iteration: 3; err: Float32[Inf, 0.6293927, 0.95094454, 0.70783037] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384] *** *** starting iteration: 4; err: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627] *** *** starting iteration: 5; err: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627, 0.91466963] *** *** starting iteration: 6; err: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627, 0.91466963] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627, 0.91466963, 0.53480345] *** *** starting iteration: 7; err: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627, 0.91466963, 0.53480345] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627, 0.91466963, 0.53480345, 0.6175738] *** *** finished computation of 5 references, err: Float32[Inf, 0.6293927, 0.95094454, 0.70783037, 0.66066384, 1.0432627, 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, 0.7697374] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697374, 0.79975265] *** *** starting iteration: 2; err: Float32[Inf, 0.7697374, 0.79975265] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697374, 0.79975265, 0.8885974] *** *** starting iteration: 3; err: Float32[Inf, 0.7697374, 0.79975265, 0.8885974] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697374, 0.79975265, 0.8885974, 0.9300299] *** *** starting iteration: 4; err: Float32[Inf, 0.7697374, 0.79975265, 0.8885974, 0.9300299] *** *** computing centroids *** *** computing 4 nearest references *** *** new score with 4 references: Float32[Inf, 0.7697374, 0.79975265, 0.8885974, 0.9300299, 0.6703616] *** *** finished computation of 4 references, err: Float32[Inf, 0.7697374, 0.79975265, 0.8885974, 0.9300299, 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, 0.14931606] *** *** starting iteration: 5; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695] *** *** starting iteration: 6; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304] *** *** starting iteration: 7; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 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, 0.14931606, 0.1505695, 0.15342304, 0.14592668] *** *** starting iteration: 8; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304, 0.14592668] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304, 0.14592668, 0.1341723] *** *** starting iteration: 9; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304, 0.14592668, 0.1341723] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304, 0.14592668, 0.1341723, 0.13591895] *** *** starting iteration: 10; err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304, 0.14592668, 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, 0.14931606, 0.1505695, 0.15342304, 0.14592668, 0.1341723, 0.13591895, 0.13536447] *** *** finished computation of 30 references, err: Float32[Inf, 0.1999644, 0.170653, 0.15718196, 0.1597214, 0.14931606, 0.1505695, 0.15342304, 0.14592668, 0.1341723, 0.13591895, 0.13536447] *** *** 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, 0.06634607] *** *** starting iteration: 2; err: Float32[Inf, 0.10191707, 0.06634607] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.10191707, 0.06634607, 0.06634607] *** *** finished computation of 30 references, err: Float32[Inf, 0.10191707, 0.06634607, 0.06634607] *** *** 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, 0.00047474157] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00047474157, 0.000364149] *** *** finished computation of 23 references, err: Float32[Inf, 0.00047474157, 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, 0.8600001] *** *** starting iteration: 2; err: Float32[Inf, 0.72199994, 0.8600001] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8600001, 0.77599996] *** *** starting iteration: 3; err: Float32[Inf, 0.72199994, 0.8600001, 0.77599996] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8600001, 0.77599996, 0.77800006] *** *** starting iteration: 4; err: Float32[Inf, 0.72199994, 0.8600001, 0.77599996, 0.77800006] *** *** computing centroids *** *** computing 8 nearest references *** *** new score with 8 references: Float32[Inf, 0.72199994, 0.8600001, 0.77599996, 0.77800006, 0.82199997] *** *** finished computation of 8 references, err: Float32[Inf, 0.72199994, 0.8600001, 0.77599996, 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, 0.2644888] *** *** starting iteration: 3; err: Float32[Inf, 0.32362923, 0.29515687, 0.2644888] *** *** computing centroids *** *** computing 16 nearest references *** *** new score with 16 references: Float32[Inf, 0.32362923, 0.29515687, 0.2644888, 0.2644888] *** *** finished computation of 16 references, err: Float32[Inf, 0.32362923, 0.29515687, 0.2644888, 0.2644888] *** *** 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, 0.00036441872] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00036441872, 0.00024431187] *** *** finished computation of 25 references, err: Float32[Inf, 0.00036441872, 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, 1.058] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06] *** *** starting iteration: 2; err: Float32[Inf, 1.058, 1.06] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144] *** *** starting iteration: 3; err: Float32[Inf, 1.058, 1.06, 1.144] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998] *** *** starting iteration: 4; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001] *** *** starting iteration: 5; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001] *** *** starting iteration: 6; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999] *** *** starting iteration: 7; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252] *** *** starting iteration: 8; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224] *** *** starting iteration: 9; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06] *** *** starting iteration: 10; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178] *** *** starting iteration: 11; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178, 1.278] *** *** starting iteration: 12; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178, 1.278] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178, 1.278, 1.028] *** *** starting iteration: 13; err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178, 1.278, 1.028] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178, 1.278, 1.028, 1.1459999] *** *** finished computation of 5 references, err: Float32[Inf, 1.058, 1.06, 1.144, 1.3179998, 1.1760001, 1.0680001, 1.1099999, 1.252, 1.224, 1.06, 1.178, 1.278, 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, 0.91200006] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997] *** *** starting iteration: 2; err: Float32[Inf, 0.91200006, 0.83599997] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005] *** *** starting iteration: 3; err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005] *** *** starting iteration: 4; err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884] *** *** starting iteration: 5; err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86] *** *** starting iteration: 6; err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86, 0.79200006] *** *** starting iteration: 7; err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86, 0.79200006] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86, 0.79200006, 1.132] *** *** starting iteration: 8; err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86, 0.79200006, 1.132] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86, 0.79200006, 1.132, 1.132] *** *** finished computation of 5 references, err: Float32[Inf, 0.91200006, 0.83599997, 0.84800005, 0.78800005, 0.884, 0.86, 0.79200006, 1.132, 1.132] *** *** 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, 0.2337148] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.2337148, 0.22055475] *** *** starting iteration: 2; err: Float32[Inf, 0.2337148, 0.22055475] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.2337148, 0.22055475, 0.20153879] *** *** starting iteration: 3; err: Float32[Inf, 0.2337148, 0.22055475, 0.20153879] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.2337148, 0.22055475, 0.20153879, 0.17172505] *** *** starting iteration: 4; err: Float32[Inf, 0.2337148, 0.22055475, 0.20153879, 0.17172505] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.2337148, 0.22055475, 0.20153879, 0.17172505, 0.17246452] *** *** finished computation of 28 references, err: Float32[Inf, 0.2337148, 0.22055475, 0.20153879, 0.17172505, 0.17246452] *** *** 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, 0.20952824] *** *** starting iteration: 2; err: Float32[Inf, 0.24339096, 0.20952824] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952824, 0.19152974] *** *** starting iteration: 3; err: Float32[Inf, 0.24339096, 0.20952824, 0.19152974] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952824, 0.19152974, 0.17677282] *** *** starting iteration: 4; err: Float32[Inf, 0.24339096, 0.20952824, 0.19152974, 0.17677282] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952824, 0.19152974, 0.17677282, 0.17253017] *** *** starting iteration: 5; err: Float32[Inf, 0.24339096, 0.20952824, 0.19152974, 0.17677282, 0.17253017] *** *** computing centroids *** *** computing 29 nearest references *** *** new score with 29 references: Float32[Inf, 0.24339096, 0.20952824, 0.19152974, 0.17677282, 0.17253017, 0.17253017] *** *** finished computation of 29 references, err: Float32[Inf, 0.24339096, 0.20952824, 0.19152974, 0.17677282, 0.17253017, 0.17253017] *** *** 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, 0.32259923] *** *** starting iteration: 2; err: Float32[Inf, 0.34005916, 0.32259923] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259923, 0.2755401] *** *** starting iteration: 3; err: Float32[Inf, 0.34005916, 0.32259923, 0.2755401] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942] *** *** starting iteration: 4; err: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245] *** *** starting iteration: 5; err: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245, 0.24292251] *** *** starting iteration: 6; err: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245, 0.24292251] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245, 0.24292251, 0.23890705] *** *** starting iteration: 7; err: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245, 0.24292251, 0.23890705] *** *** computing centroids *** *** computing 21 nearest references *** *** new score with 21 references: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245, 0.24292251, 0.23890705, 0.2402071] *** *** finished computation of 21 references, err: Float32[Inf, 0.34005916, 0.32259923, 0.2755401, 0.26905942, 0.24728245, 0.24292251, 0.23890705, 0.2402071] *** *** 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, 0.00036669246] *** *** finished computation of 19 references, err: Float32[Inf, 0.00056039414, 0.00036669246] *** *** 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, 0.30917272] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.30917272, 0.27647063] *** *** finished computation of 20 references, err: Float32[Inf, 0.30917272, 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, 0.21939932] *** *** starting iteration: 3; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939932] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725] *** *** starting iteration: 4; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241] *** *** starting iteration: 5; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241, 0.17225246] *** *** starting iteration: 6; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241, 0.17225246] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241, 0.17225246, 0.1676124] *** *** starting iteration: 7; err: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241, 0.17225246, 0.1676124] *** *** computing centroids *** *** computing 27 nearest references *** *** new score with 27 references: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241, 0.17225246, 0.1676124, 0.16481371] *** *** finished computation of 27 references, err: Float32[Inf, 0.31709594, 0.25562343, 0.21939932, 0.19183725, 0.16981241, 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, 0.0005178862] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.0005178862, 0.0003792602] *** *** finished computation of 20 references, err: Float32[Inf, 0.0005178862, 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, 0.2723598] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.2723598, 0.25764328] *** *** starting iteration: 2; err: Float32[Inf, 0.2723598, 0.25764328] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.2723598, 0.25764328, 0.24849972] *** *** starting iteration: 3; err: Float32[Inf, 0.2723598, 0.25764328, 0.24849972] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431] *** *** starting iteration: 4; err: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431, 0.23592423] *** *** starting iteration: 5; err: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431, 0.23592423] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431, 0.23592423, 0.23744829] *** *** starting iteration: 6; err: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431, 0.23592423, 0.23744829] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431, 0.23592423, 0.23744829, 0.23744829] *** *** finished computation of 25 references, err: Float32[Inf, 0.2723598, 0.25764328, 0.24849972, 0.23713431, 0.23592423, 0.23744829, 0.23744829] *** *** 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, 0.48599997] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599997, 0.43600002] *** *** starting iteration: 2; err: Float32[Inf, 0.48599997, 0.43600002] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599997, 0.43600002, 0.442] *** *** starting iteration: 3; err: Float32[Inf, 0.48599997, 0.43600002, 0.442] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599997, 0.43600002, 0.442, 0.44] *** *** starting iteration: 4; err: Float32[Inf, 0.48599997, 0.43600002, 0.442, 0.44] *** *** computing centroids *** *** computing 20 nearest references *** *** new score with 20 references: Float32[Inf, 0.48599997, 0.43600002, 0.442, 0.44, 0.44] *** *** finished computation of 20 references, err: Float32[Inf, 0.48599997, 0.43600002, 0.442, 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, 0.33800003] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.33800003, 0.30733335] *** *** finished computation of 28 references, err: Float32[Inf, 0.33800003, 0.30733335] *** *** 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, 0.55200005] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.55200005, 0.44966668] *** *** starting iteration: 2; err: Float32[Inf, 0.55200005, 0.44966668] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.55200005, 0.44966668, 0.42566666] *** *** starting iteration: 3; err: Float32[Inf, 0.55200005, 0.44966668, 0.42566666] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997] *** *** starting iteration: 4; err: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997, 0.41433334] *** *** starting iteration: 5; err: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997, 0.41433334] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997, 0.41433334, 0.405] *** *** starting iteration: 6; err: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997, 0.41433334, 0.405] *** *** computing centroids *** *** computing 17 nearest references *** *** new score with 17 references: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997, 0.41433334, 0.405, 0.405] *** *** finished computation of 17 references, err: Float32[Inf, 0.55200005, 0.44966668, 0.42566666, 0.42099997, 0.41433334, 0.405, 0.405] *** *** 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, 0.21794353] *** *** finished computation of 28 references, err: Float32[Inf, 0.24222668, 0.21794353] *** *** 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, 0.26164874] *** *** starting iteration: 2; err: Float32[Inf, 0.3190595, 0.26164874] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.26164874, 0.23459023] *** *** starting iteration: 3; err: Float32[Inf, 0.3190595, 0.26164874, 0.23459023] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.26164874, 0.23459023, 0.22619465] *** *** starting iteration: 4; err: Float32[Inf, 0.3190595, 0.26164874, 0.23459023, 0.22619465] *** *** computing centroids *** *** computing 28 nearest references *** *** new score with 28 references: Float32[Inf, 0.3190595, 0.26164874, 0.23459023, 0.22619465, 0.22619465] *** *** finished computation of 28 references, err: Float32[Inf, 0.3190595, 0.26164874, 0.23459023, 0.22619465, 0.22619465] *** *** 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, 0.34642696] *** *** starting iteration: 2; err: Float32[Inf, 0.38880852, 0.34642696] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663] *** *** starting iteration: 3; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737] *** *** starting iteration: 4; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323] *** *** starting iteration: 5; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794] *** *** starting iteration: 6; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042] *** *** starting iteration: 7; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275] *** *** starting iteration: 8; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275, 0.28390622] *** *** starting iteration: 9; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275, 0.28390622] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275, 0.28390622, 0.29789406] *** *** starting iteration: 10; err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275, 0.28390622, 0.29789406] *** *** computing centroids *** *** computing 18 nearest references *** *** new score with 18 references: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275, 0.28390622, 0.29789406, 0.2912034] *** *** finished computation of 18 references, err: Float32[Inf, 0.38880852, 0.34642696, 0.31758663, 0.3378737, 0.29546323, 0.3315794, 0.29374042, 0.29234275, 0.28390622, 0.29789406, 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, 0.00023189854] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00023189854, 9.906034f-5] *** *** finished computation of 25 references, err: Float32[Inf, 0.00023189854, 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, 0.0023312948] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.0023312948, 0.0016525377] *** *** finished computation of 5 references, err: Float32[Inf, 0.0023312948, 0.0016525377] *** *** 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, 0.24931294] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804] *** *** starting iteration: 2; err: Float32[Inf, 0.24931294, 0.19531804] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808] *** *** starting iteration: 3; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154] *** *** starting iteration: 4; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362] *** *** starting iteration: 5; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767] *** *** starting iteration: 6; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288] *** *** starting iteration: 7; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086] *** *** starting iteration: 8; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685] *** *** starting iteration: 9; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685, 0.15121268] *** *** starting iteration: 10; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685, 0.15121268] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685, 0.15121268, 0.14316803] *** *** starting iteration: 11; err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685, 0.15121268, 0.14316803] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 0.14713685, 0.15121268, 0.14316803, 0.14253931] *** *** finished computation of 30 references, err: Float32[Inf, 0.24931294, 0.19531804, 0.15927808, 0.15240154, 0.14352362, 0.16158767, 0.15027288, 0.14192086, 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, 0.049746018] *** *** starting iteration: 2; err: Float32[Inf, 0.10972091, 0.049746018] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.10972091, 0.049746018, 0.049746018] *** *** finished computation of 30 references, err: Float32[Inf, 0.10972091, 0.049746018, 0.049746018] *** *** 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, 0.523525] *** *** starting iteration: 2; err: Float32[Inf, 0.64047235, 0.523525] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.523525, 0.51831174] *** *** starting iteration: 3; err: Float32[Inf, 0.64047235, 0.523525, 0.51831174] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.523525, 0.51831174, 0.51436764] *** *** starting iteration: 4; err: Float32[Inf, 0.64047235, 0.523525, 0.51831174, 0.51436764] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.64047235, 0.523525, 0.51831174, 0.51436764, 0.51436764] *** *** finished computation of 5 references, err: Float32[Inf, 0.64047235, 0.523525, 0.51831174, 0.51436764, 0.51436764] *** *** 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, 0.64507097] *** *** starting iteration: 2; err: Float32[Inf, 0.5835521, 0.64507097] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152] *** *** starting iteration: 3; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963] *** *** starting iteration: 4; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827] *** *** starting iteration: 5; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798] *** *** starting iteration: 6; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936] *** *** starting iteration: 7; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956] *** *** starting iteration: 8; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073] *** *** starting iteration: 9; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407] *** *** starting iteration: 10; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112] *** *** starting iteration: 11; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112, 0.5854895] *** *** starting iteration: 12; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112, 0.5854895] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112, 0.5854895, 0.6708508] *** *** starting iteration: 13; err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112, 0.5854895, 0.6708508] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112, 0.5854895, 0.6708508, 0.6831247] *** *** finished computation of 5 references, err: Float32[Inf, 0.5835521, 0.64507097, 0.7026152, 0.58592963, 0.69451827, 0.6429798, 0.611936, 0.6210956, 0.7062073, 0.6407, 0.5980112, 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, 0.4934992] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.4934992, 0.85973966] *** *** starting iteration: 2; err: Float32[Inf, 0.4934992, 0.85973966] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.4934992, 0.85973966, 0.54252446] *** *** starting iteration: 3; err: Float32[Inf, 0.4934992, 0.85973966, 0.54252446] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.4934992, 0.85973966, 0.54252446, 0.6317416] *** *** starting iteration: 4; err: Float32[Inf, 0.4934992, 0.85973966, 0.54252446, 0.6317416] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 0.4934992, 0.85973966, 0.54252446, 0.6317416, 0.63128394] *** *** finished computation of 5 references, err: Float32[Inf, 0.4934992, 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, 0.00043746448] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00043746448, 0.00030057496] *** *** finished computation of 23 references, err: Float32[Inf, 0.00043746448, 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, 0.00019021252] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00019021252, 0.00015647583] *** *** finished computation of 23 references, err: Float32[Inf, 0.00019021252, 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, 0.00035568184] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00035568184, 0.00024058815] *** *** finished computation of 23 references, err: Float32[Inf, 0.00035568184, 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, 0.00018936353] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00018936353, 0.0001696392] *** *** finished computation of 23 references, err: Float32[Inf, 0.00018936353, 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, 0.51972556] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975] *** *** starting iteration: 2; err: Float32[Inf, 0.51972556, 0.47308975] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767] *** *** starting iteration: 3; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765] *** *** starting iteration: 4; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197] *** *** starting iteration: 5; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613] *** *** starting iteration: 6; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323] *** *** starting iteration: 7; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574] *** *** starting iteration: 8; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872] *** *** starting iteration: 9; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957] *** *** starting iteration: 10; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872] *** *** starting iteration: 11; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872, 0.35907635] *** *** starting iteration: 12; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872, 0.35907635] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872, 0.35907635, 0.3856769] *** *** starting iteration: 13; err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872, 0.35907635, 0.3856769] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872, 0.35907635, 0.3856769, 0.4055513] *** *** finished computation of 12 references, err: Float32[Inf, 0.51972556, 0.47308975, 0.40446767, 0.40025765, 0.38143197, 0.38893613, 0.39237323, 0.4052574, 0.35904872, 0.34022957, 0.38175872, 0.35907635, 0.3856769, 0.4055513] *** *** 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, 0.44227207] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814] *** *** starting iteration: 2; err: Float32[Inf, 0.44227207, 0.3292814] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386] *** *** starting iteration: 3; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289] *** *** starting iteration: 4; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867] *** *** starting iteration: 5; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833] *** *** starting iteration: 6; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867] *** *** starting iteration: 7; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625] *** *** starting iteration: 8; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035] *** *** starting iteration: 9; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473] *** *** starting iteration: 10; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755] *** *** starting iteration: 11; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755, 0.22769433] *** *** starting iteration: 12; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755, 0.22769433] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755, 0.22769433, 0.23273993] *** *** starting iteration: 13; err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755, 0.22769433, 0.23273993] *** *** computing centroids *** *** computing 12 nearest references *** *** new score with 12 references: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755, 0.22769433, 0.23273993, 0.23612513] *** *** finished computation of 12 references, err: Float32[Inf, 0.44227207, 0.3292814, 0.27062386, 0.2567289, 0.27087867, 0.29287833, 0.27087867, 0.25838625, 0.2651035, 0.24309473, 0.23054755, 0.22769433, 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, 0.0003583817] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.0003583817, 0.00022039968] *** *** finished computation of 30 references, err: Float32[Inf, 0.0003583817, 0.00022039968] *** *** 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, 0.00036449815] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.00036449815, 0.00027221517] *** *** finished computation of 23 references, err: Float32[Inf, 0.00036449815, 0.00027221517] *** *** 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, 7.177392f-5] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 7.177392f-5, 5.654793f-5] *** *** finished computation of 23 references, err: Float32[Inf, 7.177392f-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, 0.00025478512] *** *** finished computation of 30 references, err: Float32[Inf, 0.00031240654, 0.00025478512] *** *** 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, 0.26407373] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407373, 0.21226059] *** *** starting iteration: 2; err: Float32[Inf, 0.26407373, 0.21226059] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407373, 0.21226059, 0.19679901] *** *** starting iteration: 3; err: Float32[Inf, 0.26407373, 0.21226059, 0.19679901] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407373, 0.21226059, 0.19679901, 0.19554842] *** *** starting iteration: 4; err: Float32[Inf, 0.26407373, 0.21226059, 0.19679901, 0.19554842] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.26407373, 0.21226059, 0.19679901, 0.19554842, 0.19554842] *** *** finished computation of 25 references, err: Float32[Inf, 0.26407373, 0.21226059, 0.19679901, 0.19554842, 0.19554842] *** *** 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, 0.14493698] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.14493698, 0.13775364] *** *** starting iteration: 2; err: Float32[Inf, 0.14493698, 0.13775364] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.14493698, 0.13775364, 0.14093101] *** *** starting iteration: 3; err: Float32[Inf, 0.14493698, 0.13775364, 0.14093101] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.14493698, 0.13775364, 0.14093101, 0.14093101] *** *** finished computation of 25 references, err: Float32[Inf, 0.14493698, 0.13775364, 0.14093101, 0.14093101] *** *** 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, 1.09] *** *** computing centroids *** *** computing 5 nearest references *** *** new score with 5 references: Float32[Inf, 1.09, 1.29] *** *** finished computation of 5 references, err: Float32[Inf, 1.09, 1.29] *** *** 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, 0.99200004] *** *** finished computation of 5 references, err: Float32[Inf, 2.456, 0.99200004] *** *** 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, 0.35591096] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523] *** *** starting iteration: 2; err: Float32[Inf, 0.35591096, 0.28418523] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548] *** *** starting iteration: 3; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529] *** *** starting iteration: 4; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703] *** *** starting iteration: 5; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058] *** *** starting iteration: 6; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642] *** *** starting iteration: 7; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852] *** *** starting iteration: 8; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852, 0.237679] *** *** starting iteration: 9; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852, 0.237679] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852, 0.237679, 0.21061435] *** *** starting iteration: 10; err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852, 0.237679, 0.21061435] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852, 0.237679, 0.21061435, 0.19740187] *** *** finished computation of 25 references, err: Float32[Inf, 0.35591096, 0.28418523, 0.23325548, 0.2248529, 0.22983703, 0.21387058, 0.22043642, 0.2026852, 0.237679, 0.21061435, 0.19740187] *** *** 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, 0.23311451] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941] *** *** starting iteration: 2; err: Float32[Inf, 0.23311451, 0.18712941] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941, 0.14163005] *** *** starting iteration: 3; err: Float32[Inf, 0.23311451, 0.18712941, 0.14163005] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625] *** *** starting iteration: 4; err: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835] *** *** starting iteration: 5; err: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835, 0.07185596] *** *** starting iteration: 6; err: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835, 0.07185596] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667] *** *** starting iteration: 7; err: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.23311451, 0.18712941, 0.14163005, 0.090352625, 0.08140835, 0.07185596, 0.059829667, 0.059829667] *** *** finished computation of 25 references, err: Float32[Inf, 0.23311451, 0.18712941, 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, 0.16856083] *** *** starting iteration: 2; err: Float32[Inf, 0.22743429, 0.16856083] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856083, 0.15437403] *** *** starting iteration: 3; err: Float32[Inf, 0.22743429, 0.16856083, 0.15437403] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856083, 0.15437403, 0.14867747] *** *** starting iteration: 4; err: Float32[Inf, 0.22743429, 0.16856083, 0.15437403, 0.14867747] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22743429, 0.16856083, 0.15437403, 0.14867747, 0.14884904] *** *** finished computation of 30 references, err: Float32[Inf, 0.22743429, 0.16856083, 0.15437403, 0.14867747, 0.14884904] *** *** 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, 0.12558252] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.12558252, 0.07818934] *** *** starting iteration: 2; err: Float32[Inf, 0.12558252, 0.07818934] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.12558252, 0.07818934, 0.07818934] *** *** finished computation of 30 references, err: Float32[Inf, 0.12558252, 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, 0.2740372] *** *** finished computation of 23 references, err: Float32[Inf, 0.38012818, 0.2740372] *** *** 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, 0.2831824] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.2831824, 0.1553783] *** *** finished computation of 23 references, err: Float32[Inf, 0.2831824, 0.1553783] *** *** 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, 0.00037721902] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00037721902, 0.0002466325] *** *** finished computation of 25 references, err: Float32[Inf, 0.00037721902, 0.0002466325] *** *** 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, 0.00025056952] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00025056952, 0.00016231561] *** *** finished computation of 25 references, err: Float32[Inf, 0.00025056952, 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, 0.39] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.39, 0.34733334] *** *** starting iteration: 2; err: Float32[Inf, 0.39, 0.34733334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.39, 0.34733334, 0.32599998] *** *** starting iteration: 3; err: Float32[Inf, 0.39, 0.34733334, 0.32599998] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.39, 0.34733334, 0.32599998, 0.32599998] *** *** finished computation of 25 references, err: Float32[Inf, 0.39, 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, 0.184] *** *** starting iteration: 3; err: Float32[Inf, 0.22800002, 0.208, 0.184] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.22800002, 0.208, 0.184, 0.186] *** *** starting iteration: 4; err: Float32[Inf, 0.22800002, 0.208, 0.184, 0.186] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.22800002, 0.208, 0.184, 0.186, 0.186] *** *** finished computation of 25 references, err: Float32[Inf, 0.22800002, 0.208, 0.184, 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, 0.22656646] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22656646, 0.19315857] *** *** starting iteration: 2; err: Float32[Inf, 0.22656646, 0.19315857] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22656646, 0.19315857, 0.16440031] *** *** starting iteration: 3; err: Float32[Inf, 0.22656646, 0.19315857, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738] *** *** starting iteration: 4; err: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 5; err: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 6; err: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 7; err: Float32[Inf, 0.22656646, 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, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 8; err: Float32[Inf, 0.22656646, 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, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031] *** *** starting iteration: 9; err: Float32[Inf, 0.22656646, 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, 0.22656646, 0.19315857, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738, 0.16440031, 0.16595738] *** *** starting iteration: 10; err: Float32[Inf, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.22656646, 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, 0.09089913] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.09089913, 0.07601169] *** *** starting iteration: 2; err: Float32[Inf, 0.09089913, 0.07601169] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.09089913, 0.07601169, 0.07601169] *** *** finished computation of 30 references, err: Float32[Inf, 0.09089913, 0.07601169, 0.07601169] *** *** 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, 0.00020875677] *** *** finished computation of 23 references, err: Float32[Inf, 0.0003400232, 0.00020875677] *** *** 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, 0.2692066] *** *** computing centroids *** *** computing 23 nearest references *** *** new score with 23 references: Float32[Inf, 0.2692066, 0.27793622] *** *** finished computation of 23 references, err: Float32[Inf, 0.2692066, 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, 0.00044216393] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.00044216393, 0.00024831423] *** *** finished computation of 25 references, err: Float32[Inf, 0.00044216393, 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, 0.00018072169] *** *** finished computation of 25 references, err: Float32[Inf, 0.00026655852, 0.00018072169] *** *** 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, 0.00014838445] *** *** finished computation of 25 references, err: Float32[Inf, 0.00030408078, 0.00014838445] *** *** 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, 0.21441741] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812] *** *** starting iteration: 2; err: Float32[Inf, 0.21441741, 0.20478812] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237] *** *** starting iteration: 3; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199] *** *** starting iteration: 4; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436] *** *** starting iteration: 5; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199] *** *** starting iteration: 6; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** starting iteration: 7; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** starting iteration: 8; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** starting iteration: 9; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** starting iteration: 10; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** starting iteration: 11; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** starting iteration: 12; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** starting iteration: 13; err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** finished computation of 30 references, err: Float32[Inf, 0.21441741, 0.20478812, 0.18253237, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199, 0.17006436, 0.171199] *** *** 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, 0.00041807326] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.00041807326, 0.00033117525] *** *** finished computation of 30 references, err: Float32[Inf, 0.00041807326, 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, 0.354] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.354, 0.31242856] *** *** starting iteration: 2; err: Float32[Inf, 0.354, 0.31242856] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.354, 0.31242856, 0.2693333] *** *** starting iteration: 3; err: Float32[Inf, 0.354, 0.31242856, 0.2693333] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.354, 0.31242856, 0.2693333, 0.26] *** *** starting iteration: 4; err: Float32[Inf, 0.354, 0.31242856, 0.2693333, 0.26] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.354, 0.31242856, 0.2693333, 0.26, 0.26] *** *** finished computation of 30 references, err: Float32[Inf, 0.354, 0.31242856, 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, 0.23266664] *** *** starting iteration: 2; err: Float32[Inf, 0.304, 0.23266664] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.304, 0.23266664, 0.19399999] *** *** starting iteration: 3; err: Float32[Inf, 0.304, 0.23266664, 0.19399999] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.304, 0.23266664, 0.19399999, 0.19399999] *** *** finished computation of 30 references, err: Float32[Inf, 0.304, 0.23266664, 0.19399999, 0.19399999] *** *** 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, 0.37600002] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666] *** *** starting iteration: 2; err: Float32[Inf, 0.37600002, 0.34466666] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664] *** *** starting iteration: 3; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664] *** *** starting iteration: 4; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667] *** *** starting iteration: 5; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333] *** *** starting iteration: 6; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334] *** *** starting iteration: 7; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333] *** *** starting iteration: 8; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333, 0.32933334] *** *** starting iteration: 9; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333, 0.32933334] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333, 0.32933334, 0.3313333] *** *** starting iteration: 10; err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333, 0.32933334, 0.3313333] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333, 0.32933334, 0.3313333, 0.32933334] *** *** finished computation of 25 references, err: Float32[Inf, 0.37600002, 0.34466666, 0.33666664, 0.33266664, 0.32966667, 0.3313333, 0.32933334, 0.3313333, 0.32933334, 0.3313333, 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, 0.232] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.232, 0.19399999] *** *** starting iteration: 2; err: Float32[Inf, 0.232, 0.19399999] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.232, 0.19399999, 0.18800001] *** *** starting iteration: 3; err: Float32[Inf, 0.232, 0.19399999, 0.18800001] *** *** computing centroids *** *** computing 25 nearest references *** *** new score with 25 references: Float32[Inf, 0.232, 0.19399999, 0.18800001, 0.18800001] *** *** finished computation of 25 references, err: Float32[Inf, 0.232, 0.19399999, 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, 0.2033665] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207] *** *** starting iteration: 2; err: Float32[Inf, 0.2033665, 0.1899207] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332] *** *** starting iteration: 3; err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344] *** *** starting iteration: 4; err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343] *** *** starting iteration: 5; err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003] *** *** starting iteration: 6; err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003, 0.14996843] *** *** starting iteration: 7; err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003, 0.14996843] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003, 0.14996843, 0.14736457] *** *** starting iteration: 8; err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003, 0.14996843, 0.14736457] *** *** computing centroids *** *** computing 30 nearest references *** *** new score with 30 references: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003, 0.14996843, 0.14736457, 0.1482015] *** *** finished computation of 30 references, err: Float32[Inf, 0.2033665, 0.1899207, 0.16834332, 0.16418344, 0.152343, 0.15532003, 0.14996843, 0.14736457, 0.1482015] *** *** 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: prec PkgEval terminated after 1738.6s: test log exceeded the size limit