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Table 10 Clustering of noisy data results

From: Outlier edge detection using random graph generation models and applications

Dataset k-Means a-Link N-Cuts GDL Proposed
(a) 0.031 0.099 0.053 0.650 0.672
(b) 0.743 0.743 0.743 0.743 0.848
(c) 0 0.004 0.559 0.654 0.755
(d) 0.208 0.161 0.367 0.553 0.619
(e) 0.001 0.133 0.680 0.701 0.744
(f) 0.001 0.162 0.627 0.612 0.714
  1. Italics indicates the best score of each experiment