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=1.2514514514514514
chang_pathbased 1.0 I=6.516616616616617
ppi_mips 1.0 I=1.58998998998999
chang_spiral 1.0 I=1.8661661661661664
astral_40_strsim 1.0 I=1.3405405405405406
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=8.895295295295295
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=6.6680680680680675
coli_state 1.0 I=3.6568568568568574
coli_find 1.0 I=5.002102102102103
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=9.964364364364364
gionis_aggregation 1.0 I=1.1
veenman_r15 1.0 I=9.331831831831831
zahn_compound 1.0 I=4.057757757757758
synthetic_spirals 1.0 I=2.106706706706707
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=4.084484484484484
bone_marrow 1.0 I=5.296096096096097
zachary 1.0 I=1.9552552552552553