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	0.767	k=21 membexp=2.0
chang_pathbased	0.711	k=2 membexp=5.0
ppi_mips	0.888	k=528 membexp=1.1
chang_spiral	0.5	k=6 membexp=2.0
astral_40_strsim	0.71	k=187 membexp=2.0
astral_40_seqsim_beh	0.48	k=253 membexp=1.1
fraenti_s3	0.84	k=17 membexp=2.0
bone_marrow_fixLabels	0.973	k=2 membexp=2.0
fu_flame	0.869	k=3 membexp=2.0
coli_state	0.53	k=5 membexp=5.0
coli_find	0.254	k=42 membexp=5.0
coli_need	0.551	k=12 membexp=1.1
coli_time	0.404	k=26 membexp=5.0
gionis_aggregation	0.892	k=4 membexp=5.0
veenman_r15	0.989	k=18 membexp=2.0
zahn_compound	0.811	k=16 membexp=5.0
synthetic_spirals	0.667	k=6 membexp=2.0
synthetic_cassini	0.957	k=3 membexp=1.1
twonorm_100d	0.899	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	0.494	k=20 membexp=1.1
tcga	0.914	k=2 membexp=5.0
bone_marrow	0.921	k=3 membexp=1.1
zachary	1.0	k=2 membexp=2.0