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Table 5 Comparison of different clustering algorithms

From: Super paramagnetic clustering of protein sequences

Analyzed data set SPC MCL GSPC
  clustered cases error,1 % clustered cases error,1 % clustered cases error,1 %
SCOP domains 8666 (94%)2 9.3 9208 12.2 9276 (101%) 7.7
SwissProt InterPro domains 96716 (99%) 15.6 97792 14.3 103729 (106%) 10.7
SwissProt keywords 98276 (99%) 21.8 99636 20.8 105339 (106%) 15.7
Bacterial genomes, FunCat 1.3 4652 (103%) 14.1 4517 14.7 5043 (112%) 14.8
  1. 1-The error is defined as error=100%*(FP+FN)/(TP+FN). 2-In parentheses the percentage of clustered sequences relative to the corresponding numbers of the MCL algorithm (100%) are indicated.