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Table 4 Comparison of the clustering effect of the proposed DERC based on different \(\beta\) values

From: A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation

Method ACC ER(%) FN FP ARI NMI
DERC (\(\beta =0.95\)) 0.9708 2.92 4 0 0.8643 0.7796
DERC (\(\beta =0.85\)) 0.9781 2.19 3 0 0.8965 0.8198
DERC (\(\beta =0.75\)) 0.9927 0.73 1 0 0.9643 0.9212
DERC (\(\beta =0.65\)) 0.9854 1.4600 2 0 0.9298 0.8659
  1. The bold values point out the method that has obtained the best results
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