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=27.47773992902296
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=29.003216789551107
astral_40_strsim 1.0 T=42.92516827227227
astral_40_seqsim_beh 1.0 T=51.88502358552806
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.6016249537715217
fu_flame 1.0 T=14.344821272266492
coli_state 1.0 T=0.999397217648132
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9998602584205872
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=38.23264610986134
veenman_r15 1.0 T=13.943265184310308
zahn_compound 1.0 T=36.74476666297332
synthetic_spirals 1.0 T=3.1860180180180184
synthetic_cassini 1.0 T=3.622196655577792
twonorm_100d 1.0 T=7.400682231634121
twonorm_50d 1.0 T=12.805059363494987
synthetic_cuboid 1.0 T=1.4275697837794246
astral1_161 1.0 T=36.603583781015075
tcga 1.0 T=0.5629965699923515
bone_marrow 1.0 T=0.5497080795881923
zachary 1.0 T=5.066066066066066