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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 1.0 metric=euclidean
k=80
samples=20
chang_spiral 1.0 metric=euclidean
k=101
samples=20
fraenti_s3 1.0 metric=euclidean
k=572
samples=20
bone_marrow_fixLabels 1.0 metric=euclidean
k=33
samples=20
fu_flame 1.0 metric=euclidean
k=130
samples=20
gionis_aggregation 1.0 metric=euclidean
k=600
samples=20
veenman_r15 1.0 metric=euclidean
k=448
samples=20
zahn_compound 1.0 metric=euclidean
k=330
samples=20
synthetic_spirals 1.0 metric=euclidean
k=120
samples=20
synthetic_cassini 1.0 metric=euclidean
k=41
samples=20
twonorm_100d 1.0 metric=euclidean
k=197
samples=20
twonorm_50d 1.0 metric=euclidean
k=194
samples=20
synthetic_cuboid 1.0 metric=euclidean
k=19
samples=20
bone_marrow 1.0 metric=euclidean
k=36
samples=20