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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 'clusterdp' 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 0.482 2.95 0.975 0.979 0.002 0.0 0.997 0.995 0.999 0.999 1.0 0.769 1.0 0.986
fu_flame 0.313 3.534 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.382 1.0 1.0
chang_pathbased 0.377 4.644 0.735 0.795 0.0 0.0 0.68 0.506 0.81 0.81 0.994 0.54 1.0 0.62
ppi_mips 0.754 NaN 0.311 0.269 0.336 0.0 NaN 0.067 0.984 0.984 0.979 NaN 1.0 0.803
chang_spiral 0.0 NaN 1.0 1.0 0.0 0.0 NaN 1.0 1.0 NaN 1.0 NaN 1.0 1.0
astral_40_strsim 0.539 NaN 0.852 0.832 0.0 0.0 NaN 0.676 0.996 0.996 0.987 NaN 1.0 0.941
astral_40_seqsim_beh 0.292 NaN 0.664 0.599 0.0 0.0 NaN 0.375 0.993 0.993 0.867 NaN 1.0 0.875
zahn_compound 0.334 5.204 0.868 0.908 0.072 0.009 0.906 0.827 0.951 0.951 1.0 0.638 0.991 0.873
fraenti_s3 0.321 3.373 0.855 0.853 0.248 0.017 0.745 0.594 0.966 0.966 1.0 0.483 0.983 0.796
bone_marrow_fixLabels 0.0 NaN 0.974 0.974 0.0 0.0 NaN 0.901 0.963 NaN 1.0 NaN 1.0 0.911
coli_state 0.11 9.113 0.546 0.696 0.586 0.67 0.629 0.405 0.485 0.485 0.995 NaN 0.33 0.199
coli_find 0.106 8.908 0.235 0.396 0.869 0.876 0.354 0.13 0.223 0.223 0.992 NaN 0.124 0.116
coli_need 0.1 9.974 0.547 0.733 0.609 0.548 0.612 0.381 0.478 0.478 0.975 NaN 0.452 0.192
coli_time 0.078 12.888 0.404 0.596 0.737 0.911 0.512 0.263 0.303 0.303 0.994 NaN 0.089 0.069
gionis_aggregation 0.334 3.936 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.526 1.0 1.0
veenman_r15 0.221 5.806 0.997 0.997 0.003 0.0 0.993 0.987 0.999 0.999 1.0 0.753 1.0 0.994
synthetic_spirals 0.424 2.412 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.136 1.0 1.0
synthetic_cassini 0.426 4.221 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.506 1.0 1.0
twonorm_100d 0.473 2.116 0.666 0.831 0.355 0.043 0.702 0.495 0.549 0.549 0.99 0.053 0.957 0.17
twonorm_50d 0.432 2.316 0.825 0.831 0.095 0.022 0.732 0.576 0.716 0.716 0.99 0.13 0.978 0.473
synthetic_cuboid 0.409 3.892 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.539 1.0 1.0
astral1_161 0.747 2.019 0.726 0.742 0.391 0.066 0.605 0.433 0.869 0.869 0.985 0.04 0.934 0.651
tcga 0.432 2.313 0.921 0.928 0.017 0.014 0.924 0.857 0.911 0.911 0.999 0.147 0.986 0.777
bone_marrow 0.291 2.938 0.923 0.921 0.0 0.0 0.868 0.767 0.905 0.905 0.973 0.357 1.0 0.776
zachary 0.321 2.238 0.971 0.97 0.0 0.0 0.939 0.886 0.941 0.941 0.938 0.161 1.0 0.837