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=323.3062153431158
chang_pathbased 1.0 T=28.26952112228189
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=29.367273904064305
astral_40_strsim 1.0 T=42.13835256056056
astral_40_seqsim_beh 1.0 T=13.781959389905893
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5613130279350542
fu_flame 1.0 T=13.517519530508588
coli_state 1.0 T=0.999758887059253
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=1.0000000000000002
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=37.80524864318606
veenman_r15 1.0 T=13.88743629468344
zahn_compound 1.0 T=36.08203540051489
synthetic_spirals 1.0 T=3.0832432432432437
synthetic_cassini 1.0 T=3.528113625562784
twonorm_100d 1.0 T=10.955197096581545
twonorm_50d 1.0 T=12.011175086079682
synthetic_cuboid 1.0 T=1.0636179268158787
astral1_161 1.0 T=93.42629003154325
tcga 1.0 T=0.6199970173846535
bone_marrow 1.0 T=0.509396153751725
zachary 1.0 T=6.222222222222222