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How well do clustering methods perform on 'gionis_aggregation'?


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 0.01 3.732 0.869 0.88 0.0 0.0 0.842 0.712 0.919 0.919 1.0 NaN 1.0 0.862
Self Organizing Maps 0.409 3.59 0.544 0.72 0.0 0.0 0.615 0.383 0.819 0.819 0.979 0.455 1.0 0.676
Spectral Clustering 0.352 3.598 0.943 0.962 0.006 0.0 0.947 0.899 0.976 0.976 1.0 0.48 1.0 0.95
clusterdp 0.334 3.936 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.526 1.0 1.0
HDBSCAN 0.0 NaN 0.937 0.905 0.0 0.0 NaN 0.81 0.959 0.959 1.0 NaN 1.0 0.844
AGNES 0.0 NaN 1.0 1.0 0.0 0.0 NaN 1.0 1.0 NaN 1.0 NaN 1.0 1.0
c-Means 0.0 Infinity 0.893 0.918 0.0 0.0 NaN 0.762 0.934 0.934 0.993 0.524 1.0 0.875
k-Medoids (PAM) 0.006 3.789 0.858 0.876 0.0 0.0 0.838 0.707 0.93 0.93 0.995 0.526 1.0 0.888
DIANA 0.0 Infinity 0.841 0.879 0.0 0.0 NaN 0.709 0.914 0.914 1.0 NaN 1.0 0.807
DBSCAN 0.0 Infinity 0.864 0.916 0.0 0.0 NaN 0.755 0.937 0.937 1.0 NaN 1.0 0.889
Hierarchical Clustering 0.0 Infinity 0.967 0.982 0.0 0.0 NaN 0.973 0.994 0.994 1.0 NaN 1.0 0.971
fanny 0.0 Infinity 0.892 0.887 0.0 0.0 NaN 0.716 0.932 0.932 1.0 0.526 1.0 0.88
k-Means 0.009 3.829 0.893 0.889 0.0 0.0 0.836 0.716 0.933 0.933 0.993 0.524 1.0 0.879
DensityCut 0.334 3.729 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 0.345 0.543 0.783 1.0 0.465 0.217 0.217 0.217 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.485 0.543 0.002 0.0 NaN 0.232 0.833 0.833 1.0 NaN 1.0 0.713
Markov Clustering Infinity -Infinity 0.345 0.543 0.783 1.0 0.465 0.217 0.217 0.217 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.975 0.984 0.0 0.0 NaN 0.98 0.996 0.996 1.0 NaN 1.0 0.978
MCODE 0.506 1.678 0.864 0.833 0.001 0.0 0.821 0.688 0.929 0.929 0.818 0.303 1.0 0.807