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=27.213812864603312
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=30.034711947338494
astral_40_strsim 1.0 T=12.632763371371373
astral_40_seqsim_beh 1.0 T=80.6070902132311
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5539835868738784
fu_flame 1.0 T=14.15276908221555
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=3.7946822106053055
twonorm_100d 1.0 T=9.733902245548327
twonorm_50d 1.0 T=11.202589247971503
synthetic_cuboid 1.0 T=1.2565751613267242
astral1_161 1.0 T=203.58564693440766
tcga 1.0 T=0.5911903396702644
bone_marrow 1.0 T=0.4886294040783932
zachary 1.0 T=0.8268268268268268