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How well do clustering methods perform on 'brown'?


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 -- -- -- -- -- -- -- -- -- -- -- -- -- --
Self Organizing Maps -- -- -- -- -- -- -- -- -- -- -- -- -- --
Spectral Clustering 0.539 NaN 0.656 0.651 0.0 0.0 0.653 0.451 0.858 0.858 0.965 0.47 1.0 0.795
clusterdp 0.482 2.95 0.975 0.979 0.002 0.0 0.997 0.995 0.999 0.999 1.0 0.769 1.0 0.986
HDBSCAN -- -- -- -- -- -- -- -- -- -- -- -- -- --
AGNES 0.1 NaN 0.987 0.993 0.0 0.0 NaN 0.999 1.0 1.0 1.0 NaN 1.0 0.994
c-Means 0.539 NaN 0.78 0.75 0.0 0.0 NaN 0.644 0.899 0.899 0.965 0.562 1.0 0.828
k-Medoids (PAM) 0.112 NaN 0.912 0.888 0.0 0.0 0.953 0.909 0.979 0.979 0.999 0.764 1.0 0.938
DIANA 0.123 NaN 0.991 0.995 0.0 0.0 NaN 0.999 1.0 1.0 1.0 NaN 1.0 0.996
DBSCAN 0.405 NaN 0.68 0.593 0.0 0.0 0.481 0.237 0.832 0.832 1.0 NaN 1.0 0.759
Hierarchical Clustering 0.077 NaN 0.987 0.993 0.0 0.0 NaN 0.999 1.0 1.0 1.0 NaN 1.0 0.994
fanny 0.484 NaN 0.767 0.759 0.003 0.0 NaN 0.525 0.872 0.872 1.0 NaN 1.0 0.79
k-Means -- -- -- -- -- -- -- -- -- -- -- -- -- --
DensityCut -- -- -- -- -- -- -- -- -- -- -- -- -- --
clusterONE 0.558 2.14 0.942 0.948 0.039 0.011 0.976 0.953 0.99 0.99 1.0 NaN 0.989 0.961
Affinity Propagation 0.5 1.777 0.91 0.917 0.014 0.004 0.984 0.969 0.993 0.993 0.988 0.705 0.996 0.945
Markov Clustering 0.49 2.769 0.923 0.948 0.012 0.003 0.988 0.976 0.995 0.995 1.0 0.772 0.997 0.955
Transitivity Clustering 0.025 NaN 0.986 0.987 0.0 0.0 NaN 0.996 0.999 0.999 1.0 NaN 1.0 0.991
MCODE 0.499 1.94 0.931 0.952 0.019 0.005 0.99 0.981 0.996 0.996 1.0 0.75 0.995 0.959