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How well do clustering methods perform on 'fu_flame'?


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 0.054 3.736 0.841 0.841 0.0 0.0 0.736 0.582 0.734 0.734 1.0 NaN 1.0 0.548
Self Organizing Maps 0.392 3.223 0.845 0.841 0.0 0.0 0.742 0.59 0.732 0.732 0.717 0.378 1.0 0.42
Spectral Clustering 0.496 3.404 0.889 0.838 0.005 0.002 0.81 0.659 0.816 0.816 0.665 0.414 0.998 0.736
clusterdp 0.313 3.534 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.382 1.0 1.0
HDBSCAN 0.0 NaN 0.972 0.956 0.0 0.0 NaN 0.918 0.956 0.956 1.0 NaN 1.0 0.822
AGNES 0.0 Infinity 0.972 0.956 0.0 0.0 NaN 0.918 0.956 0.956 1.0 NaN 1.0 0.822
c-Means 0.0 Infinity 0.857 0.853 0.0 0.0 NaN 0.611 0.759 0.759 0.732 0.443 1.0 0.611
k-Medoids (PAM) 0.054 3.706 0.853 0.848 0.0 0.0 0.753 0.603 0.745 0.745 0.726 0.439 1.0 0.558
DIANA 0.0 Infinity 0.857 0.852 0.0 0.0 NaN 0.61 0.75 0.75 1.0 NaN 1.0 0.582
DBSCAN 0.0 Infinity 0.987 0.985 0.0 0.0 NaN 0.959 0.978 0.978 1.0 NaN 1.0 0.909
Hierarchical Clustering 0.0 Infinity 0.972 0.956 0.0 0.0 NaN 0.918 0.956 0.956 0.989 NaN 1.0 0.822
fanny 0.0 Infinity 0.869 0.865 0.0 0.0 NaN 0.634 0.773 0.773 1.0 NaN 1.0 0.607
k-Means 0.061 3.812 0.841 0.836 0.0 0.0 0.736 0.582 0.727 0.727 0.711 0.443 1.0 0.54
DensityCut 0.562 2.638 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 0.689 0.841 0.464 1.0 0.732 0.536 0.536 0.536 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.689 0.841 0.014 0.0 NaN 0.536 0.553 0.553 1.0 NaN 1.0 0.405
Markov Clustering Infinity -Infinity 0.689 0.841 0.464 1.0 0.732 0.536 0.536 0.536 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.866 0.841 0.0 0.0 NaN 0.593 0.769 0.769 1.0 NaN 1.0 0.597
MCODE 0.602 0.304 0.598 0.66 0.175 0.009 0.51 0.342 0.492 0.492 0.499 -0.001 0.991 0.266