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 1.0 I=1.4474474474474475
chang_pathbased 1.0 I=4.280480480480481
ppi_mips 1.0 I=2.088888888888889
chang_spiral 1.0 I=3.7014014014014016
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=8.066766766766767
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=3.6835835835835837
coli_state 1.0 I=2.659059059059059
coli_find 1.0 I=1.500900900900901
coli_need 1.0 I=2.3739739739739742
coli_time 1.0 I=9.91981981981982
gionis_aggregation 1.0 I=9.875275275275275
veenman_r15 1.0 I=6.953153153153154
zahn_compound 1.0 I=4.102302302302303
synthetic_spirals 1.0 I=6.757157157157157
synthetic_cassini 1.0 I=9.866366366366366
twonorm_100d 1.0 I=1.5632632632632633
twonorm_50d 1.0 I=8.628028028028028
synthetic_cuboid 1.0 I=5.429729729729731
astral1_161 1.0 I=1.7592592592592593
tcga 1.0 I=4.36956956956957
bone_marrow 1.0 I=6.703703703703703
zachary 1.0 I=1.5365365365365364