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How well do clustering methods perform on 'synthetic_cassini'?


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 0.005 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
Self Organizing Maps 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
Spectral Clustering 0.484 3.893 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.473 1.0 1.0
clusterdp 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
HDBSCAN 0.0 NaN 0.917 0.874 0.0 0.0 NaN 0.702 0.893 NaN 1.0 NaN 1.0 0.718
AGNES 0.0 Infinity 1.0 1.0 0.0 0.0 NaN 1.0 1.0 1.0 1.0 NaN 1.0 1.0
c-Means 0.0 Infinity 0.957 0.956 0.0 0.0 NaN 0.869 0.951 0.951 0.947 0.51 1.0 0.869
k-Medoids (PAM) 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
DIANA 0.0 NaN 0.772 0.844 0.0 0.0 NaN 0.651 0.819 NaN 1.0 NaN 1.0 0.635
DBSCAN 0.0 Infinity 1.0 1.0 0.0 0.0 NaN 1.0 1.0 1.0 1.0 NaN 1.0 1.0
Hierarchical Clustering 0.0 Infinity 1.0 1.0 0.0 0.0 NaN 1.0 1.0 1.0 1.0 NaN 1.0 1.0
fanny 0.0 Infinity 0.957 0.956 0.0 0.0 NaN 0.869 0.951 0.951 0.987 NaN 1.0 0.884
k-Means 0.009 4.179 0.78 0.856 0.0 0.0 0.801 0.653 0.84 0.84 0.947 0.51 1.0 0.792
DensityCut 0.439 4.24 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 NaN 1.0 1.0
clusterONE Infinity -Infinity 0.524 0.726 0.643 1.0 0.598 0.357 0.357 0.357 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.524 0.726 0.0 0.0 NaN 0.357 0.721 0.721 1.0 NaN 1.0 0.574
Markov Clustering Infinity -Infinity 0.524 0.726 0.643 1.0 0.598 0.357 0.357 0.357 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.885 0.867 0.0 0.0 NaN 0.657 0.871 0.871 1.0 NaN 1.0 0.794
MCODE 0.444 3.923 0.992 0.992 0.007 0.001 0.987 0.974 0.99 0.99 1.0 0.475 0.999 0.965