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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)