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=1.2945193807532165
chang_pathbased 1.0 T=5.425167435292686
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=0.7584523219024871
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=445508.64813733747
bone_marrow_fixLabels 1.0 T=0.004275507285685941
fu_flame 1.0 T=1.0341271771973783
coli_state 1.0 T=0.9034342672307057
coli_find 1.0 T=0.9220840081223973
coli_need 1.0 T=0.9421469861230324
coli_time 1.0 T=0.9124381911115599
gionis_aggregation 1.0 T=18.028402230666327
veenman_r15 1.0 T=8.709306781791424
zahn_compound 1.0 T=22.864228554816066
synthetic_spirals 1.0 T=0.8188828828828829
synthetic_cassini 1.0 T=0.4860956550775391
twonorm_100d 1.0 T=1.1301534442396934
twonorm_50d 1.0 T=2.0435169363097625
synthetic_cuboid 1.0 T=0.12706939833641032
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.451447307353653
bone_marrow 1.0 T=0.12337892452979429
zachary 1.0 T=0.014014014014014014