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=7.250804197387777
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=184907.71561039975
bone_marrow_fixLabels 1.0 T=0.00794022781627389
fu_flame 1.0 T=3.294433721643077
coli_state 1.0 T=0.9029520413492111
coli_find 1.0 T=0.9123445091376969
coli_need 1.0 T=0.9409591826980221
coli_time 1.0 T=0.8803877486194513
gionis_aggregation 1.0 T=14.337242291198002
veenman_r15 1.0 T=7.7602156581346655
zahn_compound 1.0 T=13.659627687337778
synthetic_spirals 1.0 T=1.0675315315315317
synthetic_cassini 1.0 T=0.7605044926213113
twonorm_100d 1.0 T=2.0233392308162252
twonorm_50d 1.0 T=2.67568404610343
synthetic_cuboid 1.0 T=0.2870827147600381
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