Clusteval logo ClustEval clustering evaluation framework

How well do clustering methods perform on 'twonorm_50d'?


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 0.318 2.139 0.859 0.858 0.0 0.0 0.76 0.613 0.758 0.758 1.0 NaN 1.0 0.442
Self Organizing Maps 0.662 2.139 0.98 0.98 0.007 0.0 0.96 0.924 0.961 0.961 0.961 0.075 1.0 0.862
Spectral Clustering 0.922 2.135 0.97 0.97 0.047 0.004 0.941 0.889 0.942 0.942 0.942 0.075 0.996 0.816
clusterdp 0.432 2.316 0.825 0.831 0.095 0.022 0.732 0.576 0.716 0.716 0.99 0.13 0.978 0.473
HDBSCAN 0.0 NaN 0.667 0.833 0.25 0.0 NaN 0.497 0.512 0.512 1.0 NaN 1.0 0.231
AGNES 0.0 Infinity 0.915 0.914 0.0 0.0 NaN 0.731 0.844 0.844 1.0 NaN 1.0 0.631
c-Means 0.0 Infinity 0.977 0.975 0.0 0.0 NaN 0.913 0.956 0.956 0.99 0.091 1.0 0.839
k-Medoids (PAM) 0.318 2.139 0.859 0.858 0.0 0.0 0.76 0.613 0.758 0.758 0.77 0.064 1.0 0.442
DIANA 0.0 Infinity 0.97 0.97 0.0 0.0 NaN 0.889 0.942 0.942 1.0 NaN 1.0 0.835
DBSCAN 0.0 Infinity 0.667 0.833 0.0 0.0 NaN 0.497 0.503 0.503 1.0 NaN 1.0 0.234
Hierarchical Clustering 0.0 Infinity 0.897 0.88 0.0 0.0 NaN 0.677 0.82 0.82 0.99 NaN 1.0 0.524
fanny 0.0 Infinity 0.975 0.975 0.019 0.0 NaN 0.906 0.951 0.951 1.0 0.09 1.0 0.838
k-Means 0.348 2.138 0.975 0.975 0.0 0.0 0.951 0.906 0.951 0.951 0.951 0.075 1.0 0.838
DensityCut 0.968 2.005 0.737 0.833 0.188 0.083 0.705 0.497 0.651 0.651 1.0 NaN 0.917 0.318
clusterONE 0.774 2.12 0.925 0.924 0.08 0.006 0.861 0.757 0.861 0.861 1.0 NaN 0.994 0.684
Affinity Propagation -- -- -- -- -- -- -- -- -- -- -- -- -- --
Markov Clustering Infinity -Infinity 0.667 0.833 0.503 1.0 0.705 0.497 0.497 0.497 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.827 0.833 0.0 0.0 NaN 0.522 0.748 0.748 1.0 NaN 1.0 0.459
MCODE 0.87 2.066 0.717 0.833 0.269 0.052 0.705 0.497 0.622 0.622 1.0 NaN 0.948 0.242