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=323.3062153431158
chang_pathbased 1.0 T=27.47773992902296
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=29.488626275568702
astral_40_strsim 1.0 T=27.451125941941946
astral_40_seqsim_beh 1.0 T=49.56872788974556
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5716964027717202
fu_flame 1.0 T=13.872077419833406
coli_state 1.0 T=0.999397217648132
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9999301292102937
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=38.27150042501364
veenman_r15 1.0 T=13.943265184310308
zahn_compound 1.0 T=36.15567220745471
synthetic_spirals 1.0 T=3.3053693693693695
synthetic_cassini 1.0 T=3.622196655577792
twonorm_100d 1.0 T=9.770358808265737
twonorm_50d 1.0 T=8.703323930182586
synthetic_cuboid 1.0 T=1.564051730140754
astral1_161 1.0 T=45.31872277649486
tcga 1.0 T=0.8050952444005159
bone_marrow 1.0 T=0.48679704381309924
zachary 1.0 T=3.3563563563563563