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	0.525	k=21 membexp=2.0
chang_pathbased	0.532	k=32 membexp=1.1
ppi_mips	0.824	k=528 membexp=1.1
chang_spiral	0.331	k=11 membexp=1.1
astral_40_strsim	0.424	k=187 membexp=2.0
astral_40_seqsim_beh	0.129	k=348 membexp=5.0
fraenti_s3	0.561	k=17 membexp=2.0
bone_marrow_fixLabels	0.894	k=2 membexp=2.0
fu_flame	0.634	k=3 membexp=2.0
coli_state	0.391	k=5 membexp=5.0
coli_find	0.128	k=32 membexp=5.0
coli_need	0.39	k=12 membexp=1.1
coli_time	0.264	k=14 membexp=5.0
gionis_aggregation	0.716	k=4 membexp=1.1
veenman_r15	0.965	k=18 membexp=2.0
zahn_compound	0.692	k=17 membexp=5.0
synthetic_spirals	0.498	k=2 membexp=1.1
synthetic_cassini	0.869	k=3 membexp=1.1
twonorm_100d	0.697	k=2 membexp=1.3966666666666667
twonorm_50d	0.906	k=2 membexp=1.99
synthetic_cuboid	1.0	k=5 membexp=1.1
astral1_161	0.203	k=20 membexp=1.1
tcga	0.858	k=2 membexp=5.0
bone_marrow	0.765	k=3 membexp=1.1
zachary	1.0	k=2 membexp=2.0