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CCM

Min: 0.0229, max: 0.5000, yellow zone: [0.4000 .. 0.6000].

Elements: 105, μ: 0.2339, σ: 0.1530, Var: 0.0234, defects: 41%.

Packages: 14, classes: 162.

Green: 56, yellow: 19, red: 87.

Class CCM methods nc ncc nmp
o.o.e.e.cluster.RangedAnalysisResult 0.5 4 6 2 6
o.o.e.e.cluster.RangedDBSCANClusterEvaluator 0.5 2 1 2 1
o.o.m.c.dbscan.ContectedComponentSimilarityClusterer NaN 0 0 0 0
o.o.m.c.dbscan.DistanceDBSCAN 0.5 2 1 2 1
o.o.m.c.dbscan.D..$State NaN 0 0 0 0
o.o.m.c.dbscan.DBSCANClusters 0.5 2 1 2 1
o.o.m.c.dbscan.SparseMatrixDBSCAN 0.1667 4 4 4 6
o.o.m.c.dbscan.D..$NNRegionMode 0.5 2 1 2 1
o.o.m.c.dbscan.SimilarityDBSCAN 0.5 2 1 2 1
o.o.m.c.dbscan.DoubleDBSCANClusters NaN 2 0 0 1
o.o.m.c.dbscan.DBSCAN NaN 2 0 0 1
o.o.m.c.dbscan.S..$SparseMatrixRegionMode 0.5 2 1 2 1
o.o.m.c.dbscan.DoubleNNDBSCAN 0.175 5 7 4 10
o.o.m.c.kmeans.DoubleKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.D..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.D..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.D..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.F..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.B..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.FeatureVectorKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.F..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.F..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.F..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.B..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.B..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.FloatKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.F..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.H..$Node NaN 0 0 0 0
o.o.m.c.kmeans.ByteKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.ByteKMeans 0.0475 16 57 10 120
o.o.m.c.kmeans.F..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.H..$Node NaN 0 0 0 0
o.o.m.c.kmeans.H..$Node NaN 0 0 0 0
o.o.m.c.kmeans.I..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.I..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.IntKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.HierarchicalByteKMeans 0.5 3 3 2 3
o.o.m.c.kmeans.FeatureVectorKMeans 0.0783 14 57 8 91
o.o.m.c.kmeans.H..$Node NaN 0 0 0 0
o.o.m.c.kmeans.HierarchicalLongKMeans 0.5 3 3 2 3
o.o.m.c.kmeans.HierarchicalByteKMeansResult 0.0406 19 132 19 171
o.o.m.c.kmeans.HierarchicalLongKMeansResult 0.0406 19 132 19 171
o.o.m.c.kmeans.HierarchicalIntKMeansResult 0.0406 19 132 19 171
o.o.m.c.kmeans.DoubleKMeans 0.0475 16 57 10 120
o.o.m.c.kmeans.H..$Node NaN 0 0 0 0
o.o.m.c.kmeans.H..$Node NaN 0 0 0 0
o.o.m.c.kmeans.I..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.S..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.S..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.S..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.ShortKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.HierarchicalFloatKMeansResult 0.0406 19 132 19 171
o.o.m.c.kmeans.HierarchicalDoubleKMeans 0.5 3 3 2 3
o.o.m.c.kmeans.L..$RANDOM NaN 1 0 0 0
o.o.m.c.kmeans.KMeansConfiguration 0.0164 11 9 10 55
o.o.m.c.kmeans.L..$CentroidAssignmentJob NaN 1 0 0 0
o.o.m.c.kmeans.HierarchicalFloatKMeans 0.5 3 3 2 3
o.o.m.c.kmeans.S..$IterationResult NaN 0 0 0 0
o.o.m.c.kmeans.LongKMeansInit NaN 1 0 0 0
o.o.m.c.kmeans.SphericalKMeans 0.25 5 10 4 10
o.o.m.c.kmeans.FloatKMeans 0.0475 16 57 10 120
o.o.m.c.kmeans.HierarchicalIntKMeans 0.5 3 3 2 3
o.o.m.c.kmeans.IntKMeans 0.0475 16 57 10 120
o.o.m.c.kmeans.L..$Result 0.0833 4 1 2 6
o.o.m.c.kmeans.LongKMeans 0.0475 16 57 10 120
o.o.m.c.kmeans.SphericalKMeansResult 0.0558 14 66 13 91
o.o.m.c.kmeans.HierarchicalShortKMeansResult 0.0406 19 132 19 171
o.o.m.c.kmeans.HierarchicalShortKMeans 0.5 3 3 2 3
o.o.m.c.kmeans.HierarchicalDoubleKMeansResult 0.0406 19 132 19 171
o.o.m.c.kmeans.ShortKMeans 0.0475 16 57 10 120
o.o.m.c.meanshift.ExactMeanShift 0.1 5 5 5 10
o.o.m.c.random.RandomFloatClusterer 0.3333 4 6 3 6
o.o.m.c.random.RandomDoubleClusterer 0.3333 4 6 3 6
o.o.m.c.random.RandomClusterer 0.5 2 1 2 1
o.o.m.c.random.RandomSetByteClusterer 1 2 1 1 1
o.o.m.c.random.RandomIntClusterer 0.3333 4 6 3 6
o.o.m.c.random.RandomSetIntClusterer 1 2 1 1 1
o.o.m.c.random.RandomShortClusterer 0.3333 4 6 3 6
o.o.m.c.random.RandomSetDoubleClusterer 1 2 1 1 1
o.o.m.c.random.RandomByteClusterer 0.3333 4 6 3 6
o.o.m.c.random.RandomSetLongClusterer 1 2 1 1 1
o.o.m.c.random.RandomSetShortClusterer 1 2 1 1 1
o.o.m.c.random.RandomSetFloatClusterer 1 2 1 1 1
o.o.m.c.random.RandomLongClusterer 0.3333 4 6 3 6
o.o.m.c.a.soft.HierarchicalBytePathAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.FloatKNNAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.HierarchicalIntPathAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.ByteKNNAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.HierarchicalLongPathAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.DoubleKNNAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.HierarchicalFloatPathAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.HierarchicalDoublePathAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.LongKNNAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.ShortKNNAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.HierarchicalShortPathAssigner 0.25 6 15 4 15
o.o.m.c.a.soft.IntKNNAssigner 0.25 6 15 4 15
o.o.m.clustering.DoubleCentroidsResult 0.072 12 57 12 66
o.o.m.clustering.IndexClusters 0.0691 10 28 9 45
o.o.m.clustering.FloatCentroidsResult 0.072 12 57 12 66
o.o.m.clustering.FeatureVectorCentroidsResult 0.0657 12 52 12 66
o.o.m.clustering.ByteCentroidsResult 0.072 12 57 12 66
o.o.m.clustering.IntCentroidsResult 0.072 12 57 12 66
o.o.m.clustering.LongCentroidsResult 0.072 12 57 12 66
o.o.m.clustering.ShortCentroidsResult 0.072 12 57 12 66
o.o.m.c.a.hard.ConstrainedFloatAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.ExactDoubleAssigner 0.1905 7 20 5 21
o.o.m.c.a.hard.ExactByteAssigner 0.1905 7 20 5 21
o.o.m.c.a.hard.ExactIntAssigner 0.1905 7 20 5 21
o.o.m.c.a.hard.ExactLongAssigner 0.1905 7 20 5 21
o.o.m.c.a.hard.ExactFeatureVectorAssigner 0.1667 7 14 4 21
o.o.m.c.a.hard.HierarchicalFloatHardAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.HierarchicalLongHardAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.HierarchicalByteHardAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.ExactFloatAssigner 0.1905 7 20 5 21
o.o.m.c.a.hard.HierarchicalDoubleHardAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.HierarchicalShortHardAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.KDTreeByteEuclideanAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.ExactShortAssigner 0.1905 7 20 5 21
o.o.m.c.a.hard.KDTreeLongEuclideanAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.KDTreeFloatEuclideanAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.KDTreeIntEuclideanAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.KDTreeShortEuclideanAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.HierarchicalIntHardAssigner 0.25 6 15 4 15
o.o.m.c.a.hard.KDTreeDoubleEuclideanAssigner 0.25 6 15 4 15
o.o.m.c.incremental.I..$WindowedSparseMatrix NaN 1 0 0 0
o.o.m.c.incremental.IncrementalLifetimeSparseClusterer NaN 1 0 0 0
o.o.m.c.incremental.IncrementalSparseClusterer 0.25 4 6 4 6
o.o.m.c.rforest.I..$Word 0.25 4 6 4 6
o.o.m.c.rforest.RandomDecisionTree 0.1429 7 21 7 21
o.o.m.c.rforest.RandomDecision 0.1667 6 15 6 15
o.o.m.c.rforest.I..$Letter 0.16 5 8 5 10
o.o.m.c.rforest.IntRandomForest 0.0229 27 169 21 351
o.o.k.pq.ByteProductQuantiserUtilities NaN 0 0 0 0
o.o.k.pq.DoubleProductQuantiserUtilities NaN 0 0 0 0
o.o.k.pq.FloatProductQuantiserUtilities NaN 0 0 0 0
o.o.k.pq.IntProductQuantiserUtilities NaN 0 0 0 0
o.o.k.pq.LongProductQuantiserUtilities NaN 0 0 0 0
o.o.k.pq.ShortProductQuantiserUtilities NaN 0 0 0 0
o.o.m.c.rac.C..$ClusterMinimisationFunction NaN 1 0 0 0
o.o.m.c.rac.I..$ClusterMinimisationFunction NaN 1 0 0 0
o.o.m.c.rac.IntRAC 0.0476 19 114 14 171
o.o.m.c.rac.ClusterLimitedIntRAC NaN 1 0 0 0
o.o.m.c.spectral.FBEigenIterator 0.2222 3 2 3 3
o.o.m.c.spectral.AbsoluteValueEigenChooser 0.3333 3 3 3 3
o.o.m.c.spectral.CachedDoubleSpectralClustering NaN 1 0 0 0
o.o.m.c.spectral.EigenChooser NaN 2 0 0 1
o.o.m.c.spectral.ChangeDetectingEigenChooser 0.5 2 1 2 1
o.o.m.c.spectral.DoubleSpectralClustering 0.1429 7 21 7 21
o.o.m.c.spectral.GraphLaplacian 0.1667 3 1 2 3
o.o.m.c.spectral.G..$Unnormalised NaN 1 0 0 0
o.o.m.c.spectral.DoubleMultiviewSpectralClustering 0.5 2 1 2 1
o.o.m.c.spectral.S..$DefaultClustererFunction 0.5 2 1 2 1
o.o.m.c.spectral.SpectralIndexedClusters 0.3333 3 3 3 3
o.o.m.c.spectral.G..$Normalised 0.5 2 1 2 1
o.o.m.c.spectral.G..$Warped 0.5 2 1 2 1
o.o.m.c.spectral.HardCodedEigenChooser 0.3333 3 3 3 3
o.o.m.c.spectral.SpectralClusteringConf NaN 0 0 0 0
o.o.m.c.spectral.S..$HardCoded NaN 1 0 0 0
o.o.m.c.spectral.MultiviewSpectralClusteringConf NaN 0 0 0 0
o.o.m.c.spectral.PreparedSpectralClustering 0.25 4 6 4 6
o.o.m.gmm.G..$EMGMM NaN 0 0 0 0
o.o.m.gmm.GaussianMixtureModelEM 0.175 5 7 4 10

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