Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.955 I=2.2225225225225227
chang_pathbased 0.47 I=9.18928928928929
ppi_mips 0.951 I=4.6902902902902905
chang_spiral 0.0 I=5.634634634634635
astral_40_strsim 0.857 I=4.85955955955956
astral_40_seqsim_beh 0.832 I=1.5632632632632633
fraenti_s3 0.0 I=8.084584584584585
bone_marrow_fixLabels 0.0 I=1.1
fu_flame 0.0 I=8.2983983983984
coli_state 0.0 I=1.58998998998999
coli_find 0.0 I=9.180380380380381
coli_need 0.0 I=3.558858858858859
coli_time 0.0 I=6.8284284284284285
gionis_aggregation 0.0 I=4.360660660660661
veenman_r15 0.0 I=7.327327327327327
zahn_compound 0.0 I=1.4741741741741743
synthetic_spirals 0.0 I=8.432032032032032
synthetic_cassini 0.0 I=1.6523523523523527
twonorm_100d 0.0 I=2.16016016016016
twonorm_50d 0.0 I=2.3561561561561564
synthetic_cuboid 0.0 I=4.031031031031031
astral1_161 0.59 I=3.443043043043043
tcga 0.0 I=1.2870870870870872
bone_marrow 0.645 I=9.955455455455455
zachary 1.0 I=1.8483483483483483