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How well do clustering methods perform on 'fraenti_s3'?


Program 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
CLARA 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
Self Organizing Maps 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
Spectral Clustering 0.475 3.224 0.85 0.839 0.154 0.001 0.733 0.578 0.966 0.966 0.976 0.397 0.999 0.788
clusterdp 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
HDBSCAN 0.0 NaN 0.611 0.565 0.0 0.0 NaN 0.272 0.947 0.947 1.0 NaN 1.0 0.605
AGNES 0.276 3.081 0.822 0.819 0.056 0.0 0.699 0.537 0.96 0.96 1.0 NaN 1.0 0.772
c-Means 0.0 Infinity 0.847 0.84 0.132 0.0 NaN 0.576 0.965 0.965 0.918 0.481 1.0 0.789
k-Medoids (PAM) 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
DIANA 0.065 3.495 0.767 0.769 0.046 0.0 0.643 0.474 0.955 0.955 1.0 NaN 1.0 0.748
DBSCAN 0.0 Infinity 0.63 0.694 0.008 0.0 NaN 0.334 0.948 0.948 1.0 NaN 1.0 0.67
Hierarchical Clustering 0.0 Infinity 0.79 0.794 0.0 0.0 NaN 0.481 0.957 NaN 1.0 NaN 1.0 0.75
fanny 0.0 Infinity 0.84 0.827 0.147 0.0 NaN 0.561 0.964 0.964 1.0 0.467 1.0 0.784
k-Means 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
DensityCut 0.433 3.26 0.861 0.861 0.248 0.018 0.754 0.606 0.967 0.967 1.0 NaN 0.982 0.803
clusterONE Infinity -Infinity 0.125 0.263 0.933 1.0 0.258 0.067 0.067 0.067 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.547 0.442 0.138 0.0 NaN 0.231 0.946 0.946 0.243 NaN 1.0 0.675
Markov Clustering Infinity -Infinity 0.125 0.263 0.933 1.0 0.258 0.067 0.067 0.067 1.0 NaN 0.0 0.0
Transitivity Clustering 0.309 3.347 0.835 0.82 0.083 0.001 0.709 0.548 0.963 0.963 1.0 NaN 0.999 0.773
MCODE 0.653 0.236 0.347 0.446 0.884 0.414 0.297 0.112 0.598 0.598 0.836 -0.438 0.586 0.445