Clusteval logo ClustEval clustering evaluation framework

How well do clustering methods perform on 'veenman_r15'?


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 0.001 NaN 0.993 0.993 0.0 0.0 0.986 0.973 0.998 NaN 1.0 NaN 1.0 0.988
Self Organizing Maps 0.281 2.805 0.98 0.973 0.0 0.0 0.977 0.954 0.997 0.997 0.987 0.717 1.0 0.986
Spectral Clustering 0.379 2.912 0.952 0.934 0.013 0.0 0.931 0.869 0.991 0.991 1.0 0.614 1.0 0.949
clusterdp 0.221 5.806 0.997 0.997 0.003 0.0 0.993 0.987 0.999 0.999 1.0 0.753 1.0 0.994
HDBSCAN 0.0 NaN 0.973 0.959 0.0 0.0 NaN 0.9 0.993 0.993 1.0 NaN 1.0 0.961
AGNES 0.0 Infinity 0.995 0.995 0.0 0.0 NaN 0.98 0.999 0.999 1.0 NaN 1.0 0.992
c-Means 0.0 Infinity 0.997 0.997 0.0 0.0 NaN 0.987 0.999 0.999 1.0 0.753 1.0 0.994
k-Medoids (PAM) 0.0 5.725 0.997 0.997 0.0 0.0 0.993 0.987 0.999 0.999 1.0 0.753 1.0 0.994
DIANA 0.0 NaN 0.979 0.977 0.0 0.0 NaN 0.923 0.995 NaN 1.0 NaN 1.0 0.973
DBSCAN 0.0 Infinity 0.989 0.989 0.0 0.0 NaN 0.957 0.997 0.997 1.0 NaN 1.0 0.983
Hierarchical Clustering 0.0 Infinity 0.994 0.994 0.0 0.0 NaN 0.977 0.998 0.998 1.0 NaN 1.0 0.991
fanny 0.0 Infinity 0.989 0.986 0.0 0.0 NaN 0.965 0.998 0.998 1.0 0.726 1.0 0.988
k-Means 0.005 4.341 0.974 0.963 0.0 0.0 0.963 0.928 0.995 0.995 1.0 0.713 1.0 0.976
DensityCut 0.221 5.725 0.997 0.997 0.007 0.0 0.993 0.987 0.999 0.999 1.0 NaN 1.0 0.994
clusterONE Infinity -Infinity 0.125 0.263 0.935 1.0 0.255 0.065 0.065 0.065 1.0 NaN 0.0 0.0
Affinity Propagation 0.0 Infinity 0.997 0.997 0.004 0.0 NaN 0.987 0.999 0.999 1.0 NaN 1.0 0.994
Markov Clustering Infinity -Infinity 0.125 0.263 0.935 1.0 0.255 0.065 0.065 0.065 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.997 0.997 0.0 0.0 NaN 0.987 0.999 0.999 1.0 NaN 1.0 0.994
MCODE 0.313 2.818 0.969 0.954 0.017 0.001 0.945 0.895 0.993 0.993 0.909 0.623 0.999 0.96