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	0.917	dampfact=0.99 preference=0.0 maxits=5000 convits=425
chang_pathbased	0.715	dampfact=0.99 preference=0.0 maxits=5000 convits=200
ppi_mips	0.254	dampfact=0.99 preference=0.25 maxits=5000 convits=200
chang_spiral	0.714	dampfact=0.7 preference=15.153877391611694 maxits=3500 convits=350
astral_40_strsim	0.789	dampfact=0.7 preference=0.0 maxits=2000 convits=200
astral_40_seqsim_beh	0.449	dampfact=0.99 preference=0.0 maxits=2000 convits=500
fraenti_s3	0.442	dampfact=0.99 preference=0.0 maxits=3500 convits=275
bone_marrow_fixLabels	1.0	dampfact=0.845 preference=0.0 maxits=2000 convits=350
fu_flame	0.841	dampfact=0.7 preference=0.0 maxits=2750 convits=200
coli_state	0.506	dampfact=0.7 preference=0.9096730645725422 maxits=2750 convits=275
coli_find	0.373	dampfact=0.7725 preference=0.9090676683577977 maxits=3500 convits=200
coli_need	0.739	dampfact=0.845 preference=0.9301990810832238 maxits=2000 convits=350
coli_time	0.395	dampfact=0.99 preference=0.8719264318015347 maxits=2000 convits=275
gionis_aggregation	0.543	dampfact=0.99 preference=19.407730418572907 maxits=4250 convits=500
veenman_r15	0.997	dampfact=0.845 preference=0.0 maxits=3500 convits=200
zahn_compound	0.578	dampfact=0.99 preference=9.195396266610809 maxits=4250 convits=200
synthetic_spirals	0.833	dampfact=0.99 preference=0.0 maxits=2750 convits=200
synthetic_cassini	0.726	dampfact=0.7725 preference=1.9581030621873452 maxits=3500 convits=275
synthetic_cuboid	0.635	dampfact=0.9175 preference=0.7835946230745302 maxits=2000 convits=425
astral1_161	0.187	dampfact=0.9175 preference=0.0 maxits=3500 convits=200
tcga	0.293	dampfact=0.845 preference=0.387704871560111 maxits=4250 convits=500
bone_marrow	0.947	dampfact=0.7 preference=0.0 maxits=5000 convits=350
zachary	0.612	dampfact=0.99 preference=1.75 maxits=2000 convits=500