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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.