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
chang_pathbased	1.0	k=117 nstart=10
chang_spiral	1.0	k=150 nstart=10
fraenti_s3	1.0	k=4978 nstart=10
bone_marrow_fixLabels	0.996	k=21 nstart=10
fu_flame	1.0	k=229 nstart=10
gionis_aggregation	1.0	k=274 nstart=10
veenman_r15	1.0	k=545 nstart=10
zahn_compound	1.0	k=212 nstart=10
synthetic_spirals	1.0	k=107 nstart=10
synthetic_cassini	1.0	k=203 nstart=10
twonorm_100d	1.0	k=199 nstart=10
twonorm_50d	1.0	k=196 nstart=10
synthetic_cuboid	1.0	k=96 nstart=10
bone_marrow	1.0	k=37 nstart=10