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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 'Self Organizing Maps' 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 0.392 3.223 0.845 0.841 0.0 0.0 0.742 0.59 0.732 0.732 0.717 0.378 1.0 0.42
chang_pathbased 0.314 4.149 0.652 0.745 0.0 0.0 0.652 0.469 0.748 0.748 0.798 0.515 1.0 0.532
ppi_mips -- -- -- -- -- -- -- -- -- -- -- -- -- --
chang_spiral 0.377 3.051 0.408 0.465 0.0 0.0 0.404 0.247 0.696 0.696 0.496 0.465 1.0 0.462
astral_40_strsim -- -- -- -- -- -- -- -- -- -- -- -- -- --
astral_40_seqsim_beh -- -- -- -- -- -- -- -- -- -- -- -- -- --
zahn_compound 0.337 5.204 0.611 0.764 0.0 0.0 0.676 0.457 0.805 0.805 1.0 0.638 1.0 0.643
fraenti_s3 0.43 3.365 0.375 0.406 0.128 0.0 0.334 0.12 0.94 0.94 0.921 0.405 1.0 0.617
bone_marrow_fixLabels 0.665 2.285 0.754 0.874 0.451 0.465 0.741 0.549 0.703 NaN 1.0 0.209 0.535 0.665
coli_state -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_find -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_need -- -- -- -- -- -- -- -- -- -- -- -- -- --
coli_time -- -- -- -- -- -- -- -- -- -- -- -- -- --
gionis_aggregation 0.409 3.59 0.544 0.72 0.0 0.0 0.615 0.383 0.819 0.819 0.979 0.455 1.0 0.676
veenman_r15 0.281 2.805 0.98 0.973 0.0 0.0 0.977 0.954 0.997 0.997 0.987 0.717 1.0 0.986
synthetic_spirals 0.342 3.129 0.504 0.504 0.0 0.0 0.496 0.33 0.515 0.515 0.496 0.372 1.0 0.271
synthetic_cassini 0.331 4.192 0.778 0.853 0.0 0.0 0.801 0.653 0.82 0.82 0.946 0.509 1.0 0.638
twonorm_100d 0.508 1.983 0.666 0.831 0.051 0.0 0.702 0.495 0.599 0.599 0.99 0.017 1.0 0.338
twonorm_50d 0.662 2.139 0.98 0.98 0.007 0.0 0.96 0.924 0.961 0.961 0.961 0.075 1.0 0.862
synthetic_cuboid 0.437 3.079 0.651 0.779 0.0 0.0 0.661 0.436 0.853 0.853 0.931 0.509 1.0 0.769
astral1_161 -- -- -- -- -- -- -- -- -- -- -- -- -- --
tcga -- -- -- -- -- -- -- -- -- -- -- -- -- --
bone_marrow 0.568 2.285 0.831 0.827 0.0 0.0 0.69 0.517 0.794 0.794 0.901 0.28 1.0 0.639
zachary -- -- -- -- -- -- -- -- -- -- -- -- -- --