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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 0.75 metric=euclidean
k=63
samples=20
chang_spiral 0.714 metric=euclidean
k=1
samples=20
fraenti_s3 0.845 metric=euclidean
k=11
samples=20
bone_marrow_fixLabels 0.874 metric=euclidean
k=3
samples=20
fu_flame 0.841 metric=euclidean
k=2
samples=20
gionis_aggregation 0.88 metric=euclidean
k=4
samples=20
veenman_r15 0.993 metric=euclidean
k=22
samples=20
zahn_compound 0.875 metric=euclidean
k=24
samples=20
synthetic_spirals 0.833 metric=euclidean
k=15
samples=20
synthetic_cassini 0.839 metric=euclidean
k=14
samples=20
twonorm_100d 0.833 metric=euclidean
k=1
samples=20
twonorm_50d 0.858 metric=euclidean
k=2
samples=20
synthetic_cuboid 1.0 metric=euclidean
k=4
samples=20
bone_marrow 0.827 metric=euclidean
k=2
samples=20