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=1.6181492259415207
chang_pathbased 1.0 T=7.741860556309564
ppi_mips 1.0 T=0.008008008008008008
chang_spiral 1.0 T=7.250804197387777
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=255194.27417575638
bone_marrow_fixLabels 1.0 T=0.143534887448028
fu_flame 1.0 T=1.1523131403056501
coli_state 1.0 T=0.9146460189754553
coli_find 1.0 T=0.9193533074724812
coli_need 1.0 T=0.9459898795568888
coli_time 1.0 T=0.9161560424406444
gionis_aggregation 1.0 T=4.740226448580369
veenman_r15 1.0 T=3.252032820765067
zahn_compound 1.0 T=6.921859852343672
synthetic_spirals 1.0 T=0.9415495495495496
synthetic_cassini 1.0 T=1.7170152977738882
twonorm_100d 1.0 T=1.0572403188048745
twonorm_50d 1.0 T=0.9850045664226912
synthetic_cuboid 1.0 T=0.09098796424088638
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.4324471582228857
bone_marrow 1.0 T=0.16185849010096778
zachary 1.0 T=0.09109109109109109