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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%