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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 0.814 metric=euclidean
k=8
samples=20
chang_spiral 0.701 metric=euclidean
k=28
samples=20
fraenti_s3 0.964 metric=euclidean
k=17
samples=20
bone_marrow_fixLabels 0.892 metric=euclidean
k=7
samples=20
fu_flame 0.734 metric=euclidean
k=2
samples=20
gionis_aggregation 0.919 metric=euclidean
k=7
samples=20
veenman_r15 0.998 metric=euclidean
k=16
samples=20
zahn_compound 0.889 metric=euclidean
k=3
samples=20
synthetic_spirals 0.521 metric=euclidean
k=38
samples=20
synthetic_cassini 0.834 metric=euclidean
k=5
samples=20
twonorm_100d 0.538 metric=euclidean
k=5
samples=20
twonorm_50d 0.758 metric=euclidean
k=2
samples=20
synthetic_cuboid 1.0 metric=euclidean
k=3
samples=20
bone_marrow 0.842 metric=euclidean
k=4
samples=20