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How well do clustering methods perform on 'chang_pathbased'?


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 0.0 Infinity 0.714 0.75 0.0 0.0 0.689 0.517 0.814 0.814 1.0 NaN 1.0 0.598
Self Organizing Maps 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
Spectral Clustering 0.483 3.635 0.867 0.864 0.0 0.0 0.832 0.693 0.898 0.898 0.815 0.505 1.0 0.797
clusterdp 0.377 4.644 0.735 0.795 0.0 0.0 0.68 0.506 0.81 0.81 0.994 0.54 1.0 0.62
HDBSCAN 0.188 NaN 0.807 0.84 0.0 0.0 NaN 0.579 0.848 0.848 1.0 NaN 1.0 0.704
AGNES 0.008 NaN 0.807 0.799 0.0 0.0 NaN 0.605 0.867 0.867 1.0 NaN 1.0 0.704
c-Means 0.056 NaN 0.707 0.748 0.0 0.0 NaN 0.493 0.823 0.823 0.798 0.542 1.0 0.605
k-Medoids (PAM) 0.0 Infinity 0.691 0.75 0.0 0.0 0.66 0.489 0.8 0.8 0.798 0.542 1.0 0.582
DIANA 0.0 NaN 0.728 0.745 0.0 0.0 NaN 0.545 0.832 0.832 1.0 NaN 1.0 0.604
DBSCAN 0.0 Infinity 0.947 0.946 0.0 0.0 0.896 0.812 0.93 0.93 1.0 NaN 1.0 0.817
Hierarchical Clustering 0.0 NaN 0.736 0.763 0.0 0.0 NaN 0.605 0.867 0.867 0.994 NaN 1.0 0.7
fanny 0.402 NaN 0.711 0.754 0.0 0.0 NaN 0.532 0.829 0.829 0.798 0.542 1.0 0.597
k-Means 0.0 Infinity 0.696 0.745 0.0 0.0 0.662 0.491 0.798 0.798 0.798 0.542 1.0 0.569
DensityCut 0.478 4.149 0.76 0.87 0.005 0.0 0.738 0.553 0.785 0.785 1.0 NaN 1.0 0.654
clusterONE Infinity -Infinity 0.501 0.715 0.667 1.0 0.577 0.333 0.333 0.333 1.0 NaN 0.0 0.0
Affinity Propagation 0.037 2.254 0.501 0.715 0.0 0.0 0.577 0.333 0.735 0.735 1.0 NaN 1.0 0.53
Markov Clustering 0.479 4.159 0.65 0.742 0.471 0.352 0.647 0.464 0.696 0.696 1.0 NaN 0.648 0.47
Transitivity Clustering 0.0 NaN 0.73 0.732 0.0 0.0 NaN 0.626 0.871 0.871 1.0 NaN 1.0 0.708
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