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	0.969	dampfact=0.845 preference=80.82655383577895 maxits=5000 convits=275
chang_pathbased	0.333	dampfact=0.7725 preference=7.323976037645127 maxits=2750 convits=275
ppi_mips	0.028	dampfact=0.99 preference=0.25 maxits=5000 convits=200
chang_spiral	0.331	dampfact=0.99 preference=7.576938695805847 maxits=3500 convits=425
astral_40_strsim	0.63	dampfact=0.99 preference=0.0 maxits=2000 convits=425
astral_40_seqsim_beh	0.205	dampfact=0.99 preference=0.0 maxits=4250 convits=350
fraenti_s3	0.231	dampfact=0.99 preference=0.0 maxits=2750 convits=275
bone_marrow_fixLabels	1.0	dampfact=0.7 preference=0.0 maxits=2000 convits=350
fu_flame	0.536	dampfact=0.7725 preference=0.0 maxits=2750 convits=275
coli_state	0.255	dampfact=0.99 preference=0.8795640860967228 maxits=5000 convits=350
coli_find	0.122	dampfact=0.7725 preference=0.9090676683577977 maxits=2750 convits=425
coli_need	0.387	dampfact=0.7725 preference=0.9301990810832238 maxits=2750 convits=500
coli_time	0.182	dampfact=0.99 preference=0.8719264318015347 maxits=5000 convits=200
gionis_aggregation	0.232	dampfact=0.99 preference=0.0 maxits=3500 convits=350
veenman_r15	0.987	dampfact=0.7725 preference=0.0 maxits=5000 convits=275
zahn_compound	0.305	dampfact=0.9175 preference=0.0 maxits=4250 convits=200
synthetic_spirals	0.498	dampfact=0.7 preference=0.0 maxits=3500 convits=275
synthetic_cassini	0.357	dampfact=0.9175 preference=0.0 maxits=3500 convits=200
synthetic_cuboid	0.398	dampfact=0.845 preference=0.0 maxits=4250 convits=425
astral1_161	0.069	dampfact=0.845 preference=0.0 maxits=2750 convits=350
tcga	0.133	dampfact=0.845 preference=0.387704871560111 maxits=4250 convits=500
bone_marrow	0.846	dampfact=0.9175 preference=0.0 maxits=4250 convits=425
zachary	0.374	dampfact=0.7725 preference=1.75 maxits=2750 convits=350