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Table 1 We run each clustering algorithm 100 times on the college football dataset, namely: ECG, Louvain (ML), WalkTrap (WT) and InfoMap (IM)

From: Ensemble clustering for graphs: comparisons and applications

Results for the college football graph
  ECG ML WT IM
ARI .889 ±.016 .763±.052 .815 .897
AMI .900 ±.005 .843±.020 .856 .899
AGRI .869 ±.005 .815±.019 .837 .872
  1. We compute three different measures with respect to the ground-truth communities (12 conferences). Where significant, we also report the standard deviation. Best results in bold