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	0.798	k=7 nstart=10
chang_spiral	0.7	k=30 nstart=10
fraenti_s3	0.965	k=47 nstart=10
bone_marrow_fixLabels	0.959	k=8 nstart=10
fu_flame	0.727	k=2 nstart=10
gionis_aggregation	0.933	k=6 nstart=10
veenman_r15	0.995	k=18 nstart=10
zahn_compound	0.889	k=5 nstart=10
synthetic_spirals	0.518	k=12 nstart=10
synthetic_cassini	0.84	k=5 nstart=10
twonorm_100d	0.932	k=2 nstart=10
twonorm_50d	0.951	k=3 nstart=10
synthetic_cuboid	1.0	k=5 nstart=10
bone_marrow	0.9	k=3 nstart=10