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How well do clustering methods perform on 'coli_find'?


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 0.88 1.938 0.217 0.376 0.5 0.0 0.317 0.119 0.873 0.873 0.822 NaN 1.0 0.545
clusterdp 0.106 8.908 0.235 0.396 0.869 0.876 0.354 0.13 0.223 0.223 0.992 NaN 0.124 0.116
HDBSCAN -- -- -- -- -- -- -- -- -- -- -- -- -- --
AGNES 0.0 Infinity 0.241 0.398 0.286 0.0 NaN 0.13 0.874 0.874 1.0 NaN 1.0 0.546
c-Means 0.0 Infinity 0.231 0.39 0.4 0.0 NaN 0.126 0.873 0.873 0.862 0.636 1.0 0.546
k-Medoids (PAM) 0.0 9.54 0.244 0.353 0.0 0.0 0.267 0.119 0.874 0.874 0.534 NaN 1.0 0.546
DIANA 0.0 Infinity 0.244 0.398 0.0 0.0 NaN 0.128 0.874 0.874 1.0 NaN 1.0 0.546
DBSCAN Infinity -Infinity 0.221 0.394 0.873 1.0 0.356 0.127 0.127 0.127 1.0 NaN 0.0 0.0
Hierarchical Clustering 0.0 Infinity 0.237 0.398 0.0 0.0 NaN 0.13 0.874 0.874 0.999 NaN 1.0 0.546
fanny 0.0 Infinity 0.254 0.399 0.823 0.0 NaN 0.128 0.873 0.873 1.0 NaN 1.0 0.546
k-Means -- -- -- -- -- -- -- -- -- -- -- -- -- --
DensityCut -- -- -- -- -- -- -- -- -- -- -- -- -- --
clusterONE Infinity -Infinity 0.221 0.394 0.873 1.0 0.356 0.127 0.127 0.127 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.256 0.373 0.861 0.0 NaN 0.122 0.873 0.873 0.684 NaN 1.0 0.546
Markov Clustering Infinity -Infinity 0.221 0.394 0.873 1.0 0.356 0.127 0.127 0.127 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.235 0.395 0.28 0.0 NaN 0.127 0.874 0.874 1.0 NaN 1.0 0.546
MCODE 0.863 0.379 0.23 0.354 0.866 0.266 0.285 0.12 0.677 0.677 0.63 -0.109 0.734 0.148