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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 0.598 metric=euclidean
k=21
samples=20
chang_spiral 0.477 metric=euclidean
k=37
samples=20
fraenti_s3 0.787 metric=euclidean
k=9
samples=20
bone_marrow_fixLabels 0.79 metric=euclidean
k=7
samples=20
fu_flame 0.548 metric=euclidean
k=11
samples=20
gionis_aggregation 0.862 metric=euclidean
k=7
samples=20
veenman_r15 0.988 metric=euclidean
k=16
samples=20
zahn_compound 0.806 metric=euclidean
k=3
samples=20
synthetic_spirals 0.294 metric=euclidean
k=58
samples=20
synthetic_cassini 0.763 metric=euclidean
k=2
samples=20
twonorm_100d 0.232 metric=euclidean
k=196
samples=20
twonorm_50d 0.442 metric=euclidean
k=41
samples=20
synthetic_cuboid 1.0 metric=euclidean
k=3
samples=20
bone_marrow 0.645 metric=euclidean
k=4
samples=20