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Table 4 The clustering results on HNSC-PAAD-CHOL-ESCA and ESCA-COAD-CHOL-PAAD data

From: A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection

 

HNSC-PAAD-CHOL-ESCA

ESCA-COAD-CHOL-PAAD

ACC (%)

NMI (%)

F-measure (%)

ACC (%)

NMI (%)

F-measure (%)

K-means

78.42 ± 0.94

71.34 ± 1.03

72.19 ± 1.92

82.49 ± 2.15

77.01 ± 1.76

75.71 ± 3.30

LLRR

87.66 ± 0.94

75.56 ± 0.40

86.90 ± 2.04

84.41 ± 2.07

80.24 ± 1.22

82.60 ± 2.73

LRR

88.63 ± 0.39

75.89 ± 0.21

89.16 ± 0.81

87.40 ± 2.05

82.52 ± 1.20

87.62 ± 2.17

RPCA

84.85 ± 1.54

80.29 ± 1.50

81.72 ± 2.57

83.39 ± 1.73

79.28 ± 1.31

76.86 ± 3.10

DGLRR

86.68 ± 0.85

75.22 ± 0.41

84.99 ± 1.94

85.99 ± 2.26

81.52 ± 1.39

84.01 ± 3.13

LatLRR

85.14 ± 1.02

73.96 ± 0.43

84.26 ± 2.21

86.04 ± 1.85

81.49 ± 1.14

82.37 ± 1.94

TGLRR

93.46 ± 0.93

82.83 ± 0.75

90.90 ± 1.20

90.62 ± 1.53

79.87 ± 1.49

90.34 ± 1.64

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BMC Bioinformatics

ISSN: 1471-2105

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