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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=136
samples=20
gionis_aggregation 1.0 metric=euclidean
k=672
samples=20
veenman_r15 1.0 metric=euclidean
k=586
samples=20
zahn_compound 1.0 metric=euclidean
k=129
samples=20
synthetic_spirals 1.0 metric=euclidean
k=120
samples=20
synthetic_cassini 1.0 metric=euclidean
k=140
samples=20
twonorm_100d 1.0 metric=euclidean
k=197
samples=20
twonorm_50d 1.0 metric=euclidean
k=199
samples=20
synthetic_cuboid 1.0 metric=euclidean
k=29
samples=20
bone_marrow 1.0 metric=euclidean
k=36
samples=20