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=1.7147147147147148
chang_pathbased 1.0 I=1.9107107107107109
ppi_mips 1.0 I=1.8305305305305308
chang_spiral 1.0 I=8.013313313313315
astral_40_strsim 1.0 I=1.3405405405405406
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=3.229229229229229
bone_marrow_fixLabels 1.0 I=1.1
fu_flame 1.0 I=6.08008008008008
coli_state 1.0 I=7.407507507507508
coli_find 1.0 I=1.411811811811812
coli_need 1.0 I=6.436436436436437
coli_time 1.0 I=3.9152152152152153
gionis_aggregation 1.0 I=3.1757757757757763
veenman_r15 1.0 I=5.1980980980980975
zahn_compound 1.0 I=5.705905905905906
synthetic_spirals 1.0 I=6.445345345345345
synthetic_cassini 1.0 I=9.964364364364364
twonorm_100d 1.0 I=1.5632632632632633
twonorm_50d 1.0 I=5.501001001001001
synthetic_cuboid 1.0 I=7.247147147147147
astral1_161 1.0 I=1.6790790790790793
tcga 1.0 I=9.839639639639639
bone_marrow 1.0 I=8.004404404404404
zachary 1.0 I=1.1445445445445446