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=26.03008368769336
astral_40_strsim 1.0 T=29.636725141141145
astral_40_seqsim_beh 1.0 T=11.581478478912516
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5466541458127024
fu_flame 1.0 T=14.728925652368375
coli_state 1.0 T=0.9992766611777584
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9997903876308808
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=38.23264610986134
veenman_r15 1.0 T=13.929307961903591
zahn_compound 1.0 T=36.33976422480428
synthetic_spirals 1.0 T=3.0699819819819822
synthetic_cassini 1.0 T=3.0772991067408726
twonorm_100d 1.0 T=8.075128641906197
twonorm_50d 1.0 T=13.319613987745646
synthetic_cuboid 1.0 T=1.065186684820032
astral1_161 1.0 T=36.254978221195884
tcga 1.0 T=0.5721901905394969
bone_marrow 1.0 T=0.4886294040783932
zachary 1.0 T=1.98998998998999