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Table 4 Performance of spectral clustering algorithm on the four datasets

From: Clustering analysis of tumor metabolic networks

Clustering data RI ARI MR F1 FMI CA NMI AMI
Breast microarray
Expression 47.28 -2.06 52.72 43.70 44.66 44.02 13.84 10.84
Whole graph 67.30 26.25 32.70 49.77 50.28 55.98 30.10 27.56
summarized graph 66.05 26.09 33.95 52.40 52.45 53.11 19.96 19.00
Breast RNAseq
Expression 53.05 6.21 46.95 60.99 61.90 62.59 10.08 8.14
Whole graph 52.81 5.62 47.19 52.85 52.85 62.09 4.30 4.11
Summarized graph 54.90 9.81 45.10 54.82 54.82 65.84 7.37 7.20
Lung
Expression 89.79 79.17 10.21 88.11 88.12 94.07 78.31 77.83
Whole graph 89.56 78.73 10.44 87.91 87.92 93.77 75.94 75.02
Summarized graph 87.56 74.64 12.44 85.56 85.57 92.58 72.72 72.00
Kidney
Expression 88.67 76.42 11.33 85.88 85.88 91.97 70.89 70.66
Whole graph 87.91 74.94 12.09 85.11 85.12 91.64 69.50 68.80
Summarized graph 88.09 75.42 11.91 85.52 85.56 91.64 70.00 68.80
  1. (All values have been multiplied by 100)