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 0.991 T=49.83899615899884
chang_pathbased 0.708 T=21.642019282410825
ppi_mips 0.965 T=0.5525525525525525
chang_spiral 0.536 T=25.423321830171368
astral_40_strsim 0.943 T=5.070590142142142
astral_40_seqsim_beh 0.881 T=1.1581478478912515
fraenti_s3 0.773 T=967791.8448614491
bone_marrow_fixLabels 0.952 T=0.2754648265491942
fu_flame 0.597 T=8.967359950840123
coli_state 0.372 T=0.9981916529443955
coli_find 0.546 T=1.0000000000000002
coli_need 0.359 T=0.9995807752617613
coli_time 0.397 T=0.9997435964600633
gionis_aggregation 0.978 T=28.363650061177623
veenman_r15 0.994 T=12.603371833265474
zahn_compound 0.847 T=30.08063563491904
synthetic_spirals 0.312 T=2.9473153153153158
synthetic_cassini 0.794 T=2.6656858504252146
twonorm_100d 0.294 T=4.520613776958774
twonorm_50d 0.459 T=4.572185375484433
synthetic_cuboid 0.945 T=0.9930238166289842
astral1_161 0.719 T=2.4402389187343383
tcga 0.919 T=0.5317382601320568
bone_marrow 0.789 T=0.2626383046921364
zachary 1.0 T=0.11211211211211211