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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 0.541 metric=euclidean
k=8
samples=20
chang_spiral 0.459 metric=euclidean
k=36
samples=20
fraenti_s3 0.482 metric=euclidean
k=29
samples=20
bone_marrow_fixLabels 0.267 metric=euclidean
k=7
samples=20
fu_flame 0.441 metric=euclidean
k=6
samples=20
gionis_aggregation 0.527 metric=euclidean
k=2
samples=20
veenman_r15 0.752 metric=euclidean
k=22
samples=20
zahn_compound 0.638 metric=euclidean
k=2
samples=20
synthetic_spirals 0.39 metric=euclidean
k=67
samples=20
synthetic_cassini 0.508 metric=euclidean
k=8
samples=20
twonorm_100d 0.01 metric=euclidean
k=8
samples=20
twonorm_50d 0.064 metric=euclidean
k=1
samples=20
synthetic_cuboid 0.543 metric=euclidean
k=8
samples=20
bone_marrow 0.277 metric=euclidean
k=3
samples=20