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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 0.517 metric=euclidean
k=4
samples=20
chang_spiral 0.331 metric=euclidean
k=1
samples=20
fraenti_s3 0.573 metric=euclidean
k=29
samples=20
bone_marrow_fixLabels 0.716 metric=euclidean
k=7
samples=20
fu_flame 0.582 metric=euclidean
k=1
samples=20
gionis_aggregation 0.712 metric=euclidean
k=11
samples=20
veenman_r15 0.973 metric=euclidean
k=15
samples=20
zahn_compound 0.69 metric=euclidean
k=3
samples=20
synthetic_spirals 0.498 metric=euclidean
k=1
samples=20
synthetic_cassini 0.651 metric=euclidean
k=4
samples=20
twonorm_100d 0.497 metric=euclidean
k=1
samples=20
twonorm_50d 0.613 metric=euclidean
k=11
samples=20
synthetic_cuboid 1.0 metric=euclidean
k=3
samples=20
bone_marrow 0.617 metric=euclidean
k=4
samples=20