Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » Markov 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 I=1.2158158158158159
chang_pathbased 1.0 I=8.334034034034035
ppi_mips 1.0 I=1.331631631631632
chang_spiral 1.0 I=4.93083083083083
astral_40_strsim 1.0 I=1.3405405405405406
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=3.0421421421421426
bone_marrow_fixLabels 1.0 I=1.126726726726727
fu_flame 1.0 I=6.623523523523523
coli_state 1.0 I=7.354054054054055
coli_find 1.0 I=9.1002002002002
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=8.36076076076076
gionis_aggregation 1.0 I=1.1
veenman_r15 1.0 I=7.006606606606607
zahn_compound 1.0 I=8.824024024024025
synthetic_spirals 1.0 I=6.872972972972973
synthetic_cassini 1.0 I=5.554454454454454
twonorm_100d 1.0 I=5.750450450450451
twonorm_50d 1.0 I=4.111211211211211
synthetic_cuboid 1.0 I=5.331731731731732
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=9.5990990990991
bone_marrow 1.0 I=2.5254254254254254
zachary 1.0 I=1.9552552552552553