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=9.032170649027824
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=3.094485473362148
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=0.04458743312215339
fu_flame 1.0 T=1.5068710296304657
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=8.709306781791424
zahn_compound 1.0 T=7.032315062753411
synthetic_spirals 1.0 T=0.7127927927927928
synthetic_cassini 1.0 T=0.36849186755877966
twonorm_100d 1.0 T=2.0962523562510444
twonorm_50d 1.0 T=0.16171716762163588
synthetic_cuboid 1.0 T=0.9192921904337832
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.41405991712859475
bone_marrow 1.0 T=0.17529579871312356
zachary 1.0 T=0.014014014014014014