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How well do clustering methods perform on 'chang_spiral'?


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 0.008 3.487 0.5 0.714 0.0 0.0 0.576 0.331 0.701 0.701 1.0 NaN 1.0 0.477
Self Organizing Maps 0.377 3.051 0.408 0.465 0.0 0.0 0.404 0.247 0.696 0.696 0.496 0.465 1.0 0.462
Spectral Clustering 0.57 1.762 0.93 0.901 0.0 0.0 0.924 0.854 0.952 0.952 0.854 0.364 1.0 0.912
clusterdp 0.0 NaN 1.0 1.0 0.0 0.0 NaN 1.0 1.0 NaN 1.0 NaN 1.0 1.0
HDBSCAN 0.0 NaN 0.947 0.919 0.0 0.0 NaN 0.813 0.938 NaN 1.0 NaN 1.0 0.798
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 0.441 0.474 0.0 0.0 NaN 0.247 0.705 0.705 0.496 0.478 1.0 0.489
k-Medoids (PAM) 0.008 3.647 0.418 0.484 0.0 0.0 0.406 0.248 0.705 0.705 0.5 0.476 1.0 0.492
DIANA 0.0 Infinity 0.5 0.714 0.0 0.0 NaN 0.331 0.699 0.699 1.0 NaN 1.0 0.476
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 0.5 0.714 0.0 0.0 NaN 0.331 0.705 0.705 1.0 0.472 1.0 0.503
k-Means 0.016 3.642 0.463 0.474 0.0 0.0 0.404 0.247 0.7 0.7 0.496 0.483 1.0 0.482
DensityCut 0.734 2.55 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 0.5 0.714 0.669 1.0 0.576 0.331 0.331 0.331 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.5 0.714 0.0 0.0 NaN 0.331 0.702 0.702 1.0 NaN 1.0 0.493
Markov Clustering Infinity -Infinity 0.5 0.714 0.669 1.0 0.576 0.331 0.331 0.331 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.5 0.714 0.0 0.0 NaN 0.331 0.72 0.72 1.0 NaN 1.0 0.536
MCODE 0.491 3.081 0.484 0.55 0.006 0.0 0.415 0.258 0.698 0.698 0.496 0.422 1.0 0.468