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=1.3761761761761764
chang_pathbased 1.0 I=3.2114114114114116
ppi_mips 1.0 I=1.411811811811812
chang_spiral 1.0 I=5.456456456456457
astral_40_strsim 1.0 I=1.3227227227227227
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=5.821721721721722
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=6.231531531531533
coli_state 1.0 I=7.656956956956958
coli_find 1.0 I=9.93763763763764
coli_need 1.0 I=4.360660660660661
coli_time 1.0 I=6.926426426426427
gionis_aggregation 1.0 I=8.031131131131131
veenman_r15 1.0 I=2.8461461461461464
zahn_compound 1.0 I=2.1868868868868865
synthetic_spirals 1.0 I=8.138038038038038
synthetic_cassini 1.0 I=7.443143143143144
twonorm_100d 1.0 I=8.628028028028028
twonorm_50d 1.0 I=8.46766766766767
synthetic_cuboid 1.0 I=7.1313313313313325
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=7.095695695695696
bone_marrow 1.0 I=8.77947947947948
zachary 1.0 I=1.58998998998999