Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 T=15.857862414226902
chang_pathbased 1.0 T=2.932522937996047
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=1.0314951577873825
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=0.1526966887744979
fu_flame 1.0 T=3.131928022369203
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=5.164172290485299
zahn_compound 1.0 T=5.670034134366625
synthetic_spirals 1.0 T=1.0575855855855856
synthetic_cassini 1.0 T=0.28224909004502274
twonorm_100d 1.0 T=2.0962523562510444
twonorm_50d 1.0 T=2.0435169363097625
synthetic_cuboid 1.0 T=0.014118822037378922
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.4165115492745002
bone_marrow 1.0 T=0.15513983579488988
zachary 1.0 T=0.014014014014014014