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 0.987 T=40.45373064853801
chang_pathbased 0.732 T=14.691939919360196
ppi_mips 0.92 T=0.5015015015015015
chang_spiral 0.714 T=10.557656320882622
astral_40_strsim 0.844 T=4.808318238238239
astral_40_seqsim_beh 0.653 T=1.505592202258627
fraenti_s3 0.82 T=967791.8448614491
bone_marrow_fixLabels 0.979 T=0.27118931926350826
fu_flame 0.841 T=4.210374935732183
coli_state 0.698 T=0.880166868448591
coli_find 0.395 T=0.9783364415106668
coli_need 0.739 T=0.935718873470036
coli_time 0.597 T=0.88295178401882
gionis_aggregation 0.984 T=28.94646478846209
veenman_r15 0.997 T=12.770858502146078
zahn_compound 0.883 T=28.42380747877295
synthetic_spirals 0.833 T=0.745945945945946
synthetic_cassini 0.867 T=1.8150184540395211
twonorm_100d 0.833 T=1.0390120374461698
twonorm_50d 0.833 T=2.45516063571029
synthetic_cuboid 0.943 T=0.9977300906414439
astral1_161 0.719 T=2.4402389187343383
tcga 0.984 T=0.5317382601320568
bone_marrow 0.926 T=0.2724108927737043
zachary 1.0 T=0.11211211211211211