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	0.542	k=3 nstart=10
chang_spiral	0.483	k=38 nstart=10
fraenti_s3	0.485	k=47 nstart=10
bone_marrow_fixLabels	0.352	k=8 nstart=10
fu_flame	0.443	k=4 nstart=10
gionis_aggregation	0.524	k=4 nstart=10
veenman_r15	0.713	k=18 nstart=10
zahn_compound	0.638	k=2 nstart=10
synthetic_spirals	0.407	k=66 nstart=10
synthetic_cassini	0.51	k=2 nstart=10
twonorm_100d	0.039	k=79 nstart=10
twonorm_50d	0.075	k=3 nstart=10
synthetic_cuboid	0.563	k=6 nstart=10
bone_marrow	0.352	k=3 nstart=10