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=2.1957957957957963
chang_pathbased 0.65 I=9.002202202202202
ppi_mips 0.821 I=4.031031031031031
chang_spiral 0.5 I=3.149049049049049
astral_40_strsim 0.645 I=4.61011011011011
astral_40_seqsim_beh 0.649 I=1.3138138138138138
fraenti_s3 0.125 I=4.7081081081081075
bone_marrow_fixLabels 0.537 I=1.1445445445445446
fu_flame 0.689 I=2.400700700700701
coli_state 0.53 I=2.0443443443443443
coli_find 0.221 I=9.66146146146146
coli_need 0.55 I=6.792792792792793
coli_time 0.403 I=5.59009009009009
gionis_aggregation 0.345 I=2.7748748748748753
veenman_r15 0.125 I=8.922022022022022
zahn_compound 0.381 I=8.05785785785786
synthetic_spirals 0.667 I=5.6613613613613625
synthetic_cassini 0.524 I=5.429729729729731
twonorm_100d 0.667 I=2.7926926926926927
twonorm_50d 0.667 I=2.4096096096096096
synthetic_cuboid 0.415 I=7.166966966966968
astral1_161 0.596 I=3.558858858858859
tcga 0.678 I=1.2336336336336338
bone_marrow 0.783 I=9.955455455455455
zachary 1.0 I=1.8483483483483483