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Table 9 Average inner weight and outer weights of clusters produced using each algorithm and how many percent of clusters meet the conditions

From: Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

 

Average IW

Average E2MROW

Average R2MEOW

Condition 01 true percent

Condition 02 true percent

hungarian_algorithm

0.243

0.249

0.589

63.14%

16.99%

blossom_01

0.282

0.296

0.552

62.75%

15.69%

blossom_02

0.305

0.303

0.513

59.21%

23.68%

blossom_03

0.331

0.295

0.477

68.42%

28.95%

blossom_04

0.366

0.288

0.42

78.95%

42.11%

blossom_05

0.42

0.268

0.346

100.00%

66.67%

blossom_06

0.508

0.193

0.223

100.00%

100.00%

blossom_07

0.598

0.126

0.127

100.00%

100.00%

blossom_08

0.725

0

0

100.00%

100.00%

fast_greedy

0.289

0.14

0.141

86.36%

95.45%

leading_eigen

0.27

0.165

0.111

90.00%

90.00%

edge_betweenness

0.266

0.331

0.3

46.32%

37.89%

label_propagation

0.243

0.162

0.069

80.00%

100.00%

louvain_algorithm

0.302

0.157

0.123

95.24%

100.00%

walktrap_algorithm

0.228

0.173

0.164

70.80%

81.42%