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 0.998 T=47.5735872426807
chang_pathbased 0.783 T=21.642019282410825
ppi_mips 0.898 T=0.5015015015015015
chang_spiral 0.576 T=6.947423268626782
astral_40_strsim 0.824 T=8.174141005005005
astral_40_seqsim_beh 0.633 T=1.8530365566260023
fraenti_s3 0.709 T=967791.8448614491
bone_marrow_fixLabels 0.964 T=0.26324909144723435
fu_flame 0.757 T=8.228697681413424
coli_state 0.625 T=0.9166954789718074
coli_find 0.357 T=0.9568549297313276
coli_need 0.622 T=0.9362778397876879
coli_time 0.513 T=0.8823107751689778
gionis_aggregation 0.99 T=28.324795746025323
veenman_r15 0.993 T=12.533585721231887
zahn_compound 0.88 T=30.08063563491904
synthetic_spirals 0.706 T=0.368
synthetic_cassini 0.805 T=1.8542197165457743
twonorm_100d 0.705 T=0.2916525017392757
twonorm_50d 0.707 T=4.572185375484433
synthetic_cuboid 0.942 T=0.9977300906414439
astral1_161 0.677 T=7.320716756203014
tcga 0.977 T=0.5305124440591041
bone_marrow 0.879 T=0.26324909144723435
zachary 1.0 T=0.09109109109109109