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=27.47773992902296
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=28.517807303533516
astral_40_strsim 1.0 T=10.578300124124125
astral_40_seqsim_beh 1.0 T=92.18856869214362
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5240550358740768
fu_flame 1.0 T=13.44365330356592
coli_state 1.0 T=0.999397217648132
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9998602584205872
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=38.23264610986134
veenman_r15 1.0 T=13.943265184310308
zahn_compound 1.0 T=36.74476666297332
synthetic_spirals 1.0 T=3.1860180180180184
synthetic_cassini 1.0 T=3.622196655577792
twonorm_100d 1.0 T=7.6376498892972835
twonorm_50d 1.0 T=13.069687455966754
synthetic_cuboid 1.0 T=1.1044056349238622
astral1_161 1.0 T=326.9920151104013
tcga 1.0 T=0.592416155743217
bone_marrow 1.0 T=0.49351569811917717
zachary 1.0 T=1.4714714714714714