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=2.2136136136136138
chang_pathbased 0.47 I=9.51001001001001
ppi_mips 0.951 I=5.322822822822823
chang_spiral 0.0 I=6.721521521521523
astral_40_strsim 0.857 I=4.85955955955956
astral_40_seqsim_beh 0.832 I=1.5632632632632633
fraenti_s3 0.0 I=9.723823823823825
bone_marrow_fixLabels 0.0 I=1.1623623623623625
fu_flame 0.0 I=8.503303303303305
coli_state 0.0 I=4.244844844844845
coli_find 0.0 I=2.6768768768768765
coli_need 0.0 I=7.3006006006006015
coli_time 0.0 I=6.837337337337337
gionis_aggregation 0.0 I=4.405205205205205
veenman_r15 0.0 I=9.59019019019019
zahn_compound 0.0 I=9.732732732732734
synthetic_spirals 0.0 I=8.95765765765766
synthetic_cassini 0.0 I=5.1001001001001
twonorm_100d 0.0 I=4.057757757757758
twonorm_50d 0.0 I=7.38078078078078
synthetic_cuboid 0.0 I=2.1868868868868865
astral1_161 0.59 I=3.443043043043043
tcga 0.0 I=9.233833833833835
bone_marrow 0.645 I=9.955455455455455
zachary 1.0 I=1.9107107107107109