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How well do clustering methods perform on 'zachary'?


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 -- -- -- -- -- -- -- -- -- -- -- -- -- --
Self Organizing Maps -- -- -- -- -- -- -- -- -- -- -- -- -- --
Spectral Clustering 0.729 1.812 0.69 0.691 0.064 0.003 0.544 0.37 0.624 0.624 0.619 -0.042 0.997 0.397
clusterdp 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
HDBSCAN -- -- -- -- -- -- -- -- -- -- -- -- -- --
AGNES 0.0 NaN 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 NaN 1.0 1.0 0.0 0.0 NaN 1.0 1.0 1.0 1.0 0.156 1.0 1.0
k-Medoids (PAM) 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
DIANA 0.0 NaN 0.718 0.834 0.0 0.0 NaN 0.601 0.806 0.806 1.0 NaN 1.0 0.589
DBSCAN 0.637 NaN 0.668 0.834 0.0 0.0 NaN 0.487 0.522 0.522 1.0 NaN 1.0 0.342
Hierarchical Clustering 0.0 NaN 1.0 1.0 0.0 0.0 NaN 1.0 1.0 1.0 1.0 NaN 1.0 1.0
fanny 0.475 2.205 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 NaN 1.0 1.0
k-Means -- -- -- -- -- -- -- -- -- -- -- -- -- --
DensityCut -- -- -- -- -- -- -- -- -- -- -- -- -- --
clusterONE 0.837 2.178 0.848 0.847 0.0 0.0 0.77 0.601 0.802 0.802 1.0 NaN 1.0 0.707
Affinity Propagation 0.27 NaN 0.715 0.612 0.0 0.0 NaN 0.374 0.695 0.695 0.374 NaN 1.0 0.571
Markov Clustering 0.708 2.205 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 NaN 1.0 1.0
Transitivity Clustering 0.0 NaN 1.0 1.0 0.0 0.0 NaN 1.0 1.0 1.0 1.0 NaN 1.0 1.0
MCODE -- -- -- -- -- -- -- -- -- -- -- -- -- --