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 0.955 I=2.249249249249249
chang_pathbased 0.47 I=9.118018018018018
ppi_mips 0.951 I=3.870670670670671
chang_spiral 0.0 I=9.073473473473474
astral_40_strsim 0.857 I=4.85955955955956
astral_40_seqsim_beh 0.832 I=1.5632632632632633
fraenti_s3 0.0 I=6.694794794794795
bone_marrow_fixLabels 0.0 I=1.1
fu_flame 0.0 I=2.365065065065065
coli_state 0.0 I=8.654754754754755
coli_find 0.0 I=7.256056056056057
coli_need 0.0 I=3.558858858858859
coli_time 0.0 I=5.1001001001001
gionis_aggregation 0.0 I=1.1
veenman_r15 0.0 I=6.926426426426427
zahn_compound 0.0 I=5.563363363363364
synthetic_spirals 0.0 I=8.432032032032032
synthetic_cassini 0.0 I=1.6523523523523527
twonorm_100d 0.0 I=2.16016016016016
twonorm_50d 0.0 I=2.3561561561561564
synthetic_cuboid 0.0 I=4.031031031031031
astral1_161 0.59 I=3.443043043043043
tcga 0.0 I=1.2870870870870872
bone_marrow 0.645 I=9.955455455455455
zachary 1.0 I=1.8483483483483483