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=39.1592112677848
chang_pathbased 1.0 T=7.6538848681696825
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=8.191285076546862
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=21626.633404725122
bone_marrow_fixLabels 1.0 T=0.07329441061175898
fu_flame 1.0 T=3.737631083299096
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=5.5968461850935265
zahn_compound 1.0 T=2.798198663713399
synthetic_spirals 1.0 T=0.08951351351351353
synthetic_cassini 1.0 T=0.1724855550275139
twonorm_100d 1.0 T=0.34633734581538994
twonorm_50d 1.0 T=2.0435169363097625
synthetic_cuboid 1.0 T=0.059612804157822115
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.46493128415613305
bone_marrow 1.0 T=0.17529579871312356
zachary 1.0 T=0.014014014014014014