Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » Transitivity Clustering » Best Parameters
Navigation:
027Hints:

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=1.7292712939376709
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=283308.89760189905
bone_marrow_fixLabels 1.0 T=0.14048095367253807
fu_flame 1.0 T=1.1523131403056501
coli_state 1.0 T=0.9059659531085524
coli_find 1.0 T=0.9209917278624309
coli_need 1.0 T=0.9429155648098038
coli_time 1.0 T=0.9208995079294765
gionis_aggregation 1.0 T=18.611216957950795
veenman_r15 1.0 T=2.20524114026129
zahn_compound 1.0 T=8.87323523624907
synthetic_spirals 1.0 T=0.1060900900900901
synthetic_cassini 1.0 T=0.40377300381440756
twonorm_100d 1.0 T=2.0597957935336346
twonorm_50d 1.0 T=0.8379889594939314
synthetic_cuboid 1.0 T=0.4486647891878191
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