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

ClustEval clustering evaluation framework

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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:

Dataset	Best quality	Parameter set
brown	0.79	k=101 membexp=5.0
chang_pathbased	0.597	k=16 membexp=2.0
ppi_mips	0.968	k=528 membexp=1.1
chang_spiral	0.503	k=26 membexp=5.0
astral_40_strsim	0.879	k=219 membexp=2.0
astral_40_seqsim_beh	0.791	k=505 membexp=5.0
fraenti_s3	0.784	k=17 membexp=2.0
bone_marrow_fixLabels	0.906	k=2 membexp=2.0
fu_flame	0.607	k=4 membexp=5.0
coli_state	0.356	k=65 membexp=1.1
coli_find	0.546	k=57 membexp=5.0
coli_need	0.356	k=30 membexp=5.0
coli_time	0.397	k=143 membexp=5.0
gionis_aggregation	0.88	k=4 membexp=5.0
veenman_r15	0.988	k=18 membexp=2.0
zahn_compound	0.806	k=3 membexp=1.1
synthetic_spirals	0.274	k=84 membexp=5.0
synthetic_cassini	0.884	k=3 membexp=5.0
twonorm_100d	0.606	k=21 membexp=8.516666666666667
twonorm_50d	0.838	k=2 membexp=1.99
synthetic_cuboid	1.0	k=5 membexp=1.1
astral1_161	0.537	k=50 membexp=1.1
tcga	0.828	k=2 membexp=5.0
bone_marrow	0.735	k=3 membexp=1.1
zachary	1.0	k=2 membexp=2.0