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 T=12.945193807532165
chang_pathbased 1.0 T=4.222833030714308
ppi_mips 1.0 T=0.014014014014014014
chang_spiral 1.0 T=1.8809617583181684
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=445508.64813733747
bone_marrow_fixLabels 1.0 T=0.004275507285685941
fu_flame 1.0 T=0.41365087087895136
coli_state 1.0 T=0.9034342672307057
coli_find 1.0 T=0.9220840081223973
coli_need 1.0 T=0.9421469861230324
coli_time 1.0 T=0.9057716990732013
gionis_aggregation 1.0 T=5.944710218301611
veenman_r15 1.0 T=6.783210089664474
zahn_compound 1.0 T=7.95277514950124
synthetic_spirals 1.0 T=0.7194234234234235
synthetic_cassini 1.0 T=0.2587283325412708
twonorm_100d 1.0 T=1.2030665696745124
twonorm_50d 1.0 T=2.0435169363097625
synthetic_cuboid 1.0 T=0.1757008964651599
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.451447307353653
bone_marrow 1.0 T=0.0794022781627389
zachary 1.0 T=0.014014014014014014