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 0.988 I=2.1868868868868865
chang_pathbased 0.647 I=9.973273273273273
ppi_mips 0.839 I=5.403003003003003
chang_spiral 0.576 I=6.409709709709711
astral_40_strsim 0.466 I=4.850650650650651
astral_40_seqsim_beh 0.514 I=1.491991991991992
fraenti_s3 0.258 I=5.3584584584584585
bone_marrow_fixLabels 0.601 I=1.126726726726727
fu_flame 0.732 I=1.1356356356356356
coli_state 0.625 I=1.901801801801802
coli_find 0.356 I=1.1712712712712714
coli_need 0.622 I=1.108908908908909
coli_time 0.513 I=2.471971971971972
gionis_aggregation 0.465 I=8.102402402402403
veenman_r15 0.255 I=9.59019019019019
zahn_compound 0.497 I=7.077877877877879
synthetic_spirals 0.706 I=2.400700700700701
synthetic_cassini 0.598 I=5.607907907907909
twonorm_100d 0.705 I=8.503303303303305
twonorm_50d 0.705 I=6.917517517517518
synthetic_cuboid 0.511 I=6.115715715715716
astral1_161 0.465 I=2.365065065065065
tcga 0.744 I=1.2247247247247248
bone_marrow 0.783 I=9.93763763763764
zachary 1.0 I=1.8483483483483483