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. 2006 Apr 25;359(4):1023–1044. doi: 10.1016/j.jmb.2006.04.024

Table 5.

Summary of the 20 best combinations of Cavbase scoring function, cluster algorithm, and number of output cluster according to the Rand statistic score

Rand statistic Cavbase scoring function Clustering algorithm Number of output clusters
1.000 R1 rb 13
1.000 R2 agglo 13
0.998 R3 rb 13
0.997 R3 agglo 14
0.997 R2 agglo 14
0.997 R1 agglo 14
0.997 R1 rb 12
0.997 R1 rbr 13
0.996 R3 agglo 15
0.995 R2 rb 13
0.995 R3 rbr 13
0.994 R3 rb 12
0.994 R2 agglo 12
0.994 R1 agglo 12
0.993 R3 rbr 12
0.993 R1 rbr 12
0.992 R1 agglo 15
0.991 R3 agglo 16
0.991 R1 agglo 13
0.990 R3 agglo 17