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Table 4 The percentage of specific ARI values of clustering methods

From: Non-negative low-rank representation based on dictionary learning for single-cell RNA-sequencing data analysis

methods

Treutlein

Ting

Deng

Pollen

Goolam

Engel

Kolod

Darmanis

Average

SSC

52.42

97.84

38.04

92.92

44.41

52.02

49.30

52.02

59.87

SIMLR

51.14

98.03

45.65

94.15

29.91

66.82

89.60

39.82

64.39

SC3

70.56

100.00

42.21

90.45

68.74

75.70

93.06

74.46

76.89

SNN-Cliq

26.13

55.37

54.26

35.24

20.46

13.52

3.12

1.53

26.20

Corr

59.19

63.02

47.53

75.53

30.46

43.77

69.2

61.83

56.32

MPSSC

61.17

97.84

47.83

93.28

40.20

48.21

83.06

45.93

64.69

SinNLRR

64.19

89.43

47.06

90.51

90.97

65.33

72.91

60.57

72.62

ScLCA

71.57

44.95

36.27

87.29

49.14

26.38

83.40

81.76

60.09

Seurat

62.50

75.63

54.96

82.32

58.21

70.87

72.32

88.30

70.63

CIDR

93.29

-

43.01

81.39

-

18.52

-

89.77

65.19

RaceID

69.62

-

52.09

83.83

-

49.66

-

50.78

61.19

Spectrum

42.23

56.78

31.34

89.24

52.00

09.10

43.27

36.46

45.05

SHARP

71.39

82.08

64.42

42.12

93.87

69.99

84.42

94.88

75.39

DLNLRR

84.20

100.00

51.84

93.52

98.08

79.01

97.62

72.14

84.55