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Location: Clustering Methods » k-Medoids (PAM) » Best Qualities
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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-Medoids (PAM)' 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 0.112 NaN 0.912 0.888 0.0 0.0 0.953 0.909 0.979 0.979 0.999 0.764 1.0 0.938
fu_flame 0.054 3.706 0.853 0.848 0.0 0.0 0.753 0.603 0.745 0.745 0.726 0.439 1.0 0.558
chang_pathbased 0.0 Infinity 0.691 0.75 0.0 0.0 0.66 0.489 0.8 0.8 0.798 0.542 1.0 0.582
ppi_mips 0.311 NaN 0.822 0.891 0.0 0.0 0.833 0.695 0.993 0.993 1.0 0.015 1.0 0.952
chang_spiral 0.008 3.647 0.418 0.484 0.0 0.0 0.406 0.248 0.705 0.705 0.5 0.476 1.0 0.492
astral_40_strsim 0.132 NaN 0.872 0.852 0.0 0.0 0.824 0.697 0.996 0.996 0.78 0.152 1.0 0.94
astral_40_seqsim_beh 0.0 Infinity 0.576 0.498 0.0 0.0 0.46 0.222 0.991 0.991 0.988 0.104 1.0 0.853
zahn_compound 0.02 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 0.441 3.473 0.844 0.831 0.142 0.001 0.727 0.57 0.965 0.965 0.938 0.468 0.999 0.786
bone_marrow_fixLabels 0.193 2.885 0.948 0.947 0.0 0.0 0.896 0.806 0.929 0.929 0.866 0.366 1.0 0.849
coli_state 0.002 5.254 0.507 0.542 0.0 0.0 0.466 0.3 0.613 0.613 0.54 NaN 1.0 0.371
coli_find 0.0 9.54 0.244 0.353 0.0 0.0 0.267 0.119 0.874 0.874 0.534 NaN 1.0 0.546
coli_need 0.013 3.639 0.546 0.728 0.0 0.0 0.605 0.381 0.614 0.614 0.951 NaN 1.0 0.359
coli_time 0.0 67.021 0.387 0.557 0.0 0.0 0.452 0.241 0.736 0.736 0.794 NaN 1.0 0.397
gionis_aggregation 0.006 3.789 0.858 0.876 0.0 0.0 0.838 0.707 0.93 0.93 0.995 0.526 1.0 0.888
veenman_r15 0.0 5.725 0.997 0.997 0.0 0.0 0.993 0.987 0.999 0.999 1.0 0.753 1.0 0.994
synthetic_spirals 0.025 3.712 0.504 0.504 0.0 0.0 0.496 0.33 0.52 0.52 0.496 0.408 1.0 0.305
synthetic_cassini 0.005 4.248 0.95 0.948 0.0 0.0 0.912 0.839 0.939 0.939 0.944 0.508 1.0 0.833
twonorm_100d 0.389 2.075 0.66 0.66 0.0 0.0 0.547 0.376 0.549 0.549 0.547 0.013 1.0 0.232
twonorm_50d 0.318 2.139 0.859 0.858 0.0 0.0 0.76 0.613 0.758 0.758 0.77 0.064 1.0 0.442
synthetic_cuboid 0.012 4.082 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.562 1.0 1.0
astral1_161 0.0 Infinity NaN NaN 0.0 0.0 0.509 0.341 NaN 0.869 NaN 0.103 NaN 0.549
tcga 0.194 2.365 0.9 0.927 0.0 0.0 0.909 0.829 0.889 0.889 0.97 0.174 1.0 0.701
bone_marrow 0.193 2.885 0.9 0.894 0.0 0.0 0.839 0.715 0.888 0.888 0.802 0.366 1.0 0.714
zachary 0.0 Infinity 0.941 0.94 0.0 0.0 0.892 0.795 0.9 0.9 0.883 0.139 1.0 0.831