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=0.0
ppi_mips 1.0 T=0.014014014014014014
chang_spiral 1.0 T=5.369842439069609
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=47578.59349039526
bone_marrow_fixLabels 1.0 T=0.03481484504058552
fu_flame 1.0 T=1.994388127452087
coli_state 1.0 T=0.896441991949034
coli_find 1.0 T=0.9268172225822517
coli_need 1.0 T=0.9499725145701584
coli_time 1.0 T=0.8728238441913138
gionis_aggregation 1.0 T=1.9815700727672036
veenman_r15 1.0 T=4.424439502929297
zahn_compound 1.0 T=23.416504606864763
synthetic_spirals 1.0 T=0.8851891891891893
synthetic_cassini 1.0 T=0.4390541400700354
twonorm_100d 1.0 T=0.01822828135870473
twonorm_50d 1.0 T=1.8523966473023745
synthetic_cuboid 1.0 T=0.49259001330410906
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.43673751447822023
bone_marrow 1.0 T=0.1368162331419501
zachary 1.0 T=0.09109109109109109