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=29.29590415058051
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=26.12109796632166
astral_40_strsim 1.0 T=33.920499571571575
astral_40_seqsim_beh 1.0 T=61.38183593823633
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.2638598782023323
fu_flame 1.0 T=14.241408554546753
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=38.349209055318234
veenman_r15 1.0 T=13.915350739496873
zahn_compound 1.0 T=35.861124979695404
synthetic_spirals 1.0 T=3.113081081081081
synthetic_cassini 1.0 T=3.7946822106053055
twonorm_100d 1.0 T=10.463033499896516
twonorm_50d 1.0 T=14.348723236246965
synthetic_cuboid 1.0 T=1.306775417459627
astral1_161 1.0 T=217.52986932717528
tcga 1.0 T=0.8535149792821487
bone_marrow 1.0 T=0.5881876451593658
zachary 1.0 T=4.288288288288288