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 0.948 I=1.7236236236236238
chang_pathbased 0.742 I=9.091291291291292
ppi_mips 0.888 I=4.565565565565565
chang_spiral 0.714 I=3.7103103103103106
astral_40_strsim 0.675 I=4.494294294294295
astral_40_seqsim_beh 0.613 I=1.3138138138138138
fraenti_s3 0.263 I=6.08008008008008
bone_marrow_fixLabels 0.731 I=1.126726726726727
fu_flame 0.841 I=1.1356356356356356
coli_state 0.698 I=5.964264264264266
coli_find 0.394 I=8.77947947947948
coli_need 0.739 I=3.478678678678679
coli_time 0.597 I=9.91981981981982
gionis_aggregation 0.543 I=9.875275275275275
veenman_r15 0.263 I=1.1801801801801801
zahn_compound 0.578 I=1.4207207207207209
synthetic_spirals 0.833 I=6.1602602602602605
synthetic_cassini 0.726 I=6.24934934934935
twonorm_100d 0.833 I=4.182482482482483
twonorm_50d 0.833 I=6.614614614614615
synthetic_cuboid 0.635 I=9.91981981981982
astral1_161 0.651 I=2.3561561561561564
tcga 0.806 I=1.2336336336336338
bone_marrow 0.875 I=9.955455455455455
zachary 1.0 I=1.8483483483483483