ClustEval | Which parameter sets lead to the optimal clustering quality?

ClustEval clustering evaluation framework

Navigation:

027

Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:

Dataset	Best quality	Parameter set
brown	0.759	k=21 membexp=2.0
chang_pathbased	0.754	k=7 membexp=2.0
ppi_mips	0.925	k=528 membexp=1.1
chang_spiral	0.714	k=2 membexp=2.0
astral_40_strsim	0.657	k=172 membexp=5.0
astral_40_seqsim_beh	0.399	k=253 membexp=1.1
fraenti_s3	0.827	k=17 membexp=2.0
bone_marrow_fixLabels	0.973	k=2 membexp=2.0
fu_flame	0.865	k=3 membexp=2.0
coli_state	0.698	k=3 membexp=5.0
coli_find	0.399	k=32 membexp=5.0
coli_need	0.739	k=5 membexp=5.0
coli_time	0.597	k=9 membexp=1.1
gionis_aggregation	0.887	k=4 membexp=5.0
veenman_r15	0.986	k=18 membexp=2.0
zahn_compound	0.875	k=3 membexp=1.1
synthetic_spirals	0.833	k=2 membexp=1.1
synthetic_cassini	0.956	k=3 membexp=1.1
twonorm_100d	0.898	k=2 membexp=1.3966666666666667
twonorm_50d	0.975	k=2 membexp=1.99
synthetic_cuboid	1.0	k=6 membexp=1.1
astral1_161	0.555	k=62 membexp=5.0
tcga	0.943	k=2 membexp=5.0
bone_marrow	0.921	k=3 membexp=1.1
zachary	1.0	k=2 membexp=2.0