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=28.064244516622168
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=28.790850139418414
astral_40_strsim 1.0 T=24.12901515915916
astral_40_seqsim_beh 1.0 T=104.92819501894739
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.3854064424668327
fu_flame 1.0 T=13.901623910610473
coli_state 1.0 T=0.999758887059253
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9997205168411744
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=3.2523243243243245
synthetic_cassini 1.0 T=3.4849922368059056
twonorm_100d 1.0 T=13.379558517289274
twonorm_50d 1.0 T=7.51249751405963
synthetic_cuboid 1.0 T=1.1546058910567651
astral1_161 1.0 T=93.42629003154325
tcga 1.0 T=0.8296115658595705
bone_marrow 1.0 T=0.6034573140368156
zachary 1.0 T=1.7377377377377377