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Table 2 Comparison of the clustering methods based on popular metrics

From: PFClust: a novel parameter free clustering algorithm

Methods Rand index
300 450 1500 3000 5000 CATH Density Average
Hierarchy 0.883 0.942 0.896 0.920 0.981 0.964 0.928 0.931
Agnes 0.947 0.973 0.836 0.820 0.976 0.906 0.975 0.919
Clara 0.960 0.980 0.952 0.948 0.987 1.000 0.956 0.969
k-means 0.960 0.980 0.958 0.966 0.986 0.738 0.901 0.927
Mix Model 0.960 0.980 0.959 0.911 0.990 1.000 0.977 0.968
PFClust 0.960 1.000 0.958 0.949 0.986 0.996 0.976 0.975
DBSCAN 0.973 0.973 0.930 0.921 0.978 0.977 0.688 0.920
  1. The table summarizes the comparison between PFClust and the other six clustering algorithms based on the Rand Index between the clustering predicted by the method in question and the original gold standard clusters.