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How well do clustering methods perform on 'synthetic_spirals'?


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 0.025 3.529 0.667 0.833 0.0 0.0 0.706 0.498 0.521 0.521 1.0 NaN 1.0 0.294
Self Organizing Maps 0.342 3.129 0.504 0.504 0.0 0.0 0.496 0.33 0.515 0.515 0.496 0.372 1.0 0.271
Spectral Clustering 0.641 3.015 0.698 0.591 0.0 0.0 0.706 0.499 0.75 0.75 0.499 0.325 1.0 0.667
clusterdp 0.424 2.412 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.136 1.0 1.0
HDBSCAN 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
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 0.504 0.504 0.0 0.0 NaN 0.33 0.52 0.52 0.496 0.397 1.0 NaN
k-Medoids (PAM) 0.025 3.712 0.504 0.504 0.0 0.0 0.496 0.33 0.52 0.52 0.496 0.408 1.0 0.305
DIANA 0.0 Infinity 0.667 0.833 0.0 0.0 NaN 0.498 0.515 0.515 1.0 NaN 1.0 0.282
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 0.667 0.833 0.0 0.0 NaN 0.498 0.515 0.515 1.0 NaN 1.0 0.274
k-Means 0.025 3.752 0.502 0.503 0.0 0.0 0.496 0.33 0.518 0.518 0.496 0.407 1.0 NaN
DensityCut 0.694 2.881 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 0.667 0.833 0.502 1.0 0.706 0.498 0.498 0.498 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.667 0.833 0.062 0.0 NaN 0.498 0.521 0.521 1.0 NaN 1.0 0.285
Markov Clustering 0.657 3.042 0.667 0.833 0.502 0.5 0.706 0.498 0.498 0.498 1.0 NaN 0.5 0.0
Transitivity Clustering 0.0 Infinity 0.667 0.833 0.0 0.0 NaN 0.498 0.527 0.527 1.0 NaN 1.0 0.312
MCODE 0.514 2.864 0.637 0.761 0.021 0.001 0.622 0.436 0.525 0.525 0.778 0.288 0.999 0.288