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Table 2 The clustering results on PAAD-COAD and HNSC-ESCA integrative data

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

 

PAAD-COAD

HNSC-ESCA

ACC(%)

NMI(%)

F-measure(%)

ACC(%)

NMI(%)

F-measure(%)

K-means

91.57 ± 0.89

68.77 ± 4.24

91.62 ± 1.01

99.36 ± 0.05

98.00 ± 0.50

98.81 ± 0.18

LLRR

93.95 ± 0.29

71.59 ± 1.29

93.83 ± 0.26

99.83 ± 0.00

98.07 ± 0.00

99.80 ± 0.00

LRR

93.63 ± 0.57

70.70 ± 2.52

93.64 ± 0.51

99.83 ± 0.00

98.07 ± 0.00

99.80 ± 0.00

RPCA

93.81 ± 0.46

71.09 ± 2.27

93.81 ± 0.42

100.00 ± 0.00

100.00 ± 0.00

100.00 ± 0.00

DGLRR

94.14 ± 0.40

71.98 ± 1.80

94.13 ± 0.47

99.83 ± 0.00

98.07 ± 0.00

99.80 ± 0.00

LatLRR

93.76 ± 0.33

71.46 ± 1.50

93.77 ± 0.29

99.83 ± 0.00

98.07 ± 0.00

99.80 ± 0.00

TGLRR

95.15 ± 0.00

74.44 ± 0.00

95.10 ± 0.00

100.00 ± 0.00

100.00 ± 0.00

100.00 ± 0.00