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 0.923 I=2.1512512512512516
chang_pathbased 0.65 I=9.305105105105104
ppi_mips 0.821 I=3.5944944944944948
chang_spiral 0.5 I=5.403003003003003
astral_40_strsim 0.645 I=4.61011011011011
astral_40_seqsim_beh 0.649 I=1.3138138138138138
fraenti_s3 0.125 I=3.5054054054054054
bone_marrow_fixLabels 0.537 I=1.1
fu_flame 0.689 I=2.365065065065065
coli_state 0.53 I=6.427527527527528
coli_find 0.221 I=6.721521521521523
coli_need 0.55 I=8.752752752752754
coli_time 0.403 I=6.133533533533533
gionis_aggregation 0.345 I=1.1
veenman_r15 0.125 I=9.75055055055055
zahn_compound 0.381 I=9.91091091091091
synthetic_spirals 0.667 I=2.7837837837837838
synthetic_cassini 0.524 I=5.126826826826828
twonorm_100d 0.667 I=3.1668668668668674
twonorm_50d 0.667 I=2.3472472472472474
synthetic_cuboid 0.415 I=7.095695695695696
astral1_161 0.596 I=3.5321321321321326
tcga 0.678 I=2.8817817817817817
bone_marrow 0.783 I=9.955455455455455
zachary 1.0 I=1.8483483483483483