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=1.2945193807532165
chang_pathbased 1.0 T=10.67438349430561
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=9.344132605838643
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=218428.9973877237
bone_marrow_fixLabels 1.0 T=0.14170252718273404
fu_flame 1.0 T=2.8807828507641253
coli_state 1.0 T=0.9034342672307057
coli_find 1.0 T=0.9220840081223973
coli_need 1.0 T=0.9421469861230324
coli_time 1.0 T=0.9124381911115599
gionis_aggregation 1.0 T=18.028402230666327
veenman_r15 1.0 T=6.643637865597304
zahn_compound 1.0 T=21.501947626429278
synthetic_spirals 1.0 T=0.6696936936936937
synthetic_cassini 1.0 T=0.23912770128814426
twonorm_100d 1.0 T=2.0962523562510444
twonorm_50d 1.0 T=0.16171716762163588
synthetic_cuboid 1.0 T=0.39062074303415023
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.46493128415613305
bone_marrow 1.0 T=0.072072837101563
zachary 1.0 T=0.014014014014014014