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=1.67017017017017
chang_pathbased 0.742 I=9.26946946946947
ppi_mips 0.888 I=4.485385385385385
chang_spiral 0.714 I=6.204804804804805
astral_40_strsim 0.675 I=4.494294294294295
astral_40_seqsim_beh 0.613 I=1.3138138138138138
fraenti_s3 0.263 I=3.05995995995996
bone_marrow_fixLabels 0.731 I=1.1979979979979982
fu_flame 0.841 I=2.4452452452452453
coli_state 0.698 I=5.447547547547548
coli_find 0.394 I=4.342842842842843
coli_need 0.739 I=1.108908908908909
coli_time 0.597 I=1.1
gionis_aggregation 0.543 I=3.647947947947948
veenman_r15 0.263 I=3.9063063063063064
zahn_compound 0.578 I=5.456456456456457
synthetic_spirals 0.833 I=2.400700700700701
synthetic_cassini 0.726 I=5.607907907907909
twonorm_100d 0.833 I=8.503303303303305
twonorm_50d 0.833 I=3.1935935935935937
synthetic_cuboid 0.635 I=2.2670670670670674
astral1_161 0.651 I=2.3561561561561564
tcga 0.806 I=3.7637637637637638
bone_marrow 0.875 I=9.955455455455455
zachary 1.0 I=1.8483483483483483