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How well do clustering methods perform on 'zahn_compound'?


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 0.02 5.204 0.769 0.875 0.0 0.0 0.83 0.69 0.889 0.889 1.0 NaN 1.0 0.806
Self Organizing Maps 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
Spectral Clustering 0.337 5.204 0.8 0.764 0.014 0.001 0.727 0.545 0.883 0.883 1.0 0.638 0.999 0.804
clusterdp 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
HDBSCAN 0.0 NaN 0.878 0.871 0.0 0.0 NaN NaN 0.98 NaN 1.0 NaN 1.0 NaN
AGNES 0.0 Infinity 0.878 0.899 0.0 0.0 NaN 0.92 0.98 0.98 1.0 NaN 1.0 0.866
c-Means 0.0 Infinity 0.833 0.903 0.0 0.0 NaN 0.73 0.91 0.91 1.0 0.638 1.0 0.847
k-Medoids (PAM) 0.02 5.204 0.769 0.875 0.0 0.0 0.83 0.69 0.889 0.889 1.0 0.638 1.0 0.806
DIANA 0.0 Infinity 0.806 0.8 0.0 0.0 NaN 0.713 0.915 0.915 1.0 NaN 1.0 0.799
DBSCAN 0.0 Infinity 0.886 0.904 0.0 0.0 NaN 0.895 0.973 0.973 1.0 NaN 1.0 0.857
Hierarchical Clustering 0.0 Infinity 0.874 0.875 0.0 0.0 NaN 0.92 0.98 0.98 1.0 NaN 1.0 0.843
fanny 0.0 Infinity 0.811 0.875 0.0 0.0 NaN 0.692 0.909 0.909 1.0 0.638 1.0 0.806
k-Means 0.032 5.204 0.769 0.875 0.0 0.0 0.83 0.69 0.889 0.889 1.0 0.638 1.0 0.806
DensityCut 0.337 5.204 0.888 0.941 0.192 0.065 0.898 0.807 0.941 0.941 1.0 NaN 0.935 0.912
clusterONE Infinity -Infinity 0.381 0.578 0.753 1.0 0.497 0.247 0.247 0.247 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.581 0.578 0.06 0.0 NaN 0.305 0.819 0.819 1.0 NaN 1.0 0.696
Markov Clustering Infinity -Infinity 0.381 0.578 0.753 1.0 0.497 0.247 0.247 0.247 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.848 0.883 0.0 0.0 NaN 0.782 0.934 0.934 1.0 NaN 1.0 0.847
MCODE 0.541 1.81 0.825 0.829 0.043 0.004 0.798 0.663 0.902 0.902 0.816 0.336 0.996 0.781