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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 'CLARA' 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
zachary -- -- -- -- -- -- -- -- -- -- -- -- -- --
bone_marrow 0.251 2.517 0.834 0.827 0.0 0.0 0.769 0.617 0.842 0.842 1.0 NaN 1.0 0.645
twonorm_50d 0.318 2.139 0.859 0.858 0.0 0.0 0.76 0.613 0.758 0.758 1.0 NaN 1.0 0.442
twonorm_100d 0.39 2.016 0.667 0.833 0.0 0.0 0.705 0.497 0.538 0.538 1.0 NaN 1.0 0.232
zahn_compound 0.02 5.204 0.769 0.875 0.0 0.0 0.83 0.69 0.889 0.889 1.0 NaN 1.0 0.806
veenman_r15 0.001 NaN 0.993 0.993 0.0 0.0 0.986 0.973 0.998 NaN 1.0 NaN 1.0 0.988
tcga -- -- -- -- -- -- -- -- -- -- -- -- -- --
astral1_161 -- -- -- -- -- -- -- -- -- -- -- -- -- --
synthetic_cuboid 0.012 3.888 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 NaN 1.0 1.0
synthetic_cassini 0.005 4.248 0.768 0.839 0.0 0.0 0.8 0.651 0.834 0.834 1.0 NaN 1.0 0.763
synthetic_spirals 0.025 3.529 0.667 0.833 0.0 0.0 0.706 0.498 0.521 0.521 1.0 NaN 1.0 0.294
gionis_aggregation 0.01 3.732 0.869 0.88 0.0 0.0 0.842 0.712 0.919 0.919 1.0 NaN 1.0 0.862
coli_time -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_need -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_find -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_state -- -- -- -- -- -- -- -- -- -- -- -- -- --
fraenti_s3 0.438 3.798 0.845 0.845 0.107 0.0 0.728 0.573 0.964 0.964 1.0 NaN 1.0 0.787
fu_flame 0.054 3.736 0.841 0.841 0.0 0.0 0.736 0.582 0.734 0.734 1.0 NaN 1.0 0.548
bone_marrow_fixLabels 0.258 2.367 0.885 0.874 0.0 0.0 0.839 0.716 0.892 0.892 1.0 NaN 1.0 0.79
astral_40_seqsim_beh -- -- -- -- -- -- -- -- -- -- -- -- -- --
astral_40_strsim -- -- -- -- -- -- -- -- -- -- -- -- -- --
chang_spiral 0.008 3.487 0.5 0.714 0.0 0.0 0.576 0.331 0.701 0.701 1.0 NaN 1.0 0.477
ppi_mips -- -- -- -- -- -- -- -- -- -- -- -- -- --
chang_pathbased 0.0 Infinity 0.714 0.75 0.0 0.0 0.689 0.517 0.814 0.814 1.0 NaN 1.0 0.598
brown -- -- -- -- -- -- -- -- -- -- -- -- -- --