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Here you see a comparison matrix how well this clustering method performs on different datasets (rows). Where the performance is measured with different clustering quality measures (columns).

You can reorder the matrix by a certain column, to see on which dataset this clustering method performs best on, when measures by the corresponding clustering quality measure of that column.

How well does 'k-Means' perform on different datasets?


Dataset Type Davies Bouldin Index (R) Dunn Index (R) F1-Score F2-Score False Discovery Rate False Positive Rate Fowlkes Mallows Index (R) Jaccard Index (R) Rand Index Rand Index (R) Sensitivity Silhouette Value (R) Specificity V-Measure
brown -- -- -- -- -- -- -- -- -- -- -- -- -- --
fu_flame 0.061 3.812 0.841 0.836 0.0 0.0 0.736 0.582 0.727 0.727 0.711 0.443 1.0 0.54
chang_pathbased 0.0 Infinity 0.696 0.745 0.0 0.0 0.662 0.491 0.798 0.798 0.798 0.542 1.0 0.569
ppi_mips -- -- -- -- -- -- -- -- -- -- -- -- -- --
chang_spiral 0.016 3.642 0.463 0.474 0.0 0.0 0.404 0.247 0.7 0.7 0.496 0.483 1.0 0.482
astral_40_strsim -- -- -- -- -- -- -- -- -- -- -- -- -- --
astral_40_seqsim_beh -- -- -- -- -- -- -- -- -- -- -- -- -- --
zahn_compound 0.032 5.204 0.769 0.875 0.0 0.0 0.83 0.69 0.889 0.889 1.0 0.638 1.0 0.806
fraenti_s3 0.001 3.386 0.844 0.834 0.0 0.0 0.732 0.577 0.965 0.965 0.923 0.485 1.0 0.787
bone_marrow_fixLabels 0.593 NaN 0.973 0.973 0.047 0.004 0.944 0.894 0.959 NaN 1.0 0.352 0.996 0.906
coli_state -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_find -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_need -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_time -- -- -- -- -- -- -- -- -- -- -- -- -- --
gionis_aggregation 0.009 3.829 0.893 0.889 0.0 0.0 0.836 0.716 0.933 0.933 0.993 0.524 1.0 0.879
veenman_r15 0.005 4.341 0.974 0.963 0.0 0.0 0.963 0.928 0.995 0.995 1.0 0.713 1.0 0.976
synthetic_spirals 0.025 3.752 0.502 0.503 0.0 0.0 0.496 0.33 0.518 0.518 0.496 0.407 1.0 NaN
synthetic_cassini 0.009 4.179 0.78 0.856 0.0 0.0 0.801 0.653 0.84 0.84 0.947 0.51 1.0 0.792
twonorm_100d 0.389 2.064 0.965 0.965 0.0 0.0 0.932 0.872 0.932 0.932 0.932 0.039 1.0 0.782
twonorm_50d 0.348 2.138 0.975 0.975 0.0 0.0 0.951 0.906 0.951 0.951 0.951 0.075 1.0 0.838
synthetic_cuboid 0.014 4.082 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.563 1.0 1.0
astral1_161 -- -- -- -- -- -- -- -- -- -- -- -- -- --
tcga -- -- -- -- -- -- -- -- -- -- -- -- -- --
bone_marrow 0.254 2.687 0.921 0.921 0.0 0.0 0.867 0.765 0.9 0.9 0.901 0.352 1.0 0.735
zachary -- -- -- -- -- -- -- -- -- -- -- -- -- --