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 0.996 T=47.249957397492395
chang_pathbased 0.626 T=21.642019282410825
ppi_mips 0.808 T=0.5185185185185185
chang_spiral 0.331 T=8.919399305573249
astral_40_strsim 0.684 T=8.174141005005005
astral_40_seqsim_beh 0.418 T=1.8530365566260023
fraenti_s3 0.548 T=967791.8448614491
bone_marrow_fixLabels 0.929 T=0.26324909144723435
fu_flame 0.593 T=8.228697681413424
coli_state 0.392 T=0.942374007161395
coli_find 0.127 T=0.9513935284314956
coli_need 0.387 T=0.947596907720138
coli_time 0.264 T=0.9034640672137694
gionis_aggregation 0.98 T=28.94646478846209
veenman_r15 0.987 T=12.561500166045322
zahn_compound 0.782 T=30.08063563491904
synthetic_spirals 0.498 T=1.176936936936937
synthetic_cassini 0.657 T=1.8738203477989008
twonorm_100d 0.497 T=0.6197615661959609
twonorm_50d 0.522 T=4.572185375484433
synthetic_cuboid 0.887 T=0.9977300906414439
astral1_161 0.5 T=0.6972111196383823
tcga 0.956 T=0.5298995360226277
bone_marrow 0.782 T=0.26324909144723435
zachary 1.0 T=0.0980980980980981