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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.991 metric=euclidean
k=25
chang_pathbased 0.728 metric=euclidean
k=4
ppi_mips 0.334 metric=euclidean
k=971
chang_spiral 0.5 metric=euclidean
k=1
astral_40_strsim 0.495 metric=euclidean
k=441
astral_40_seqsim_beh 0.531 metric=euclidean
k=450
fraenti_s3 0.767 metric=euclidean
k=16
bone_marrow_fixLabels 0.896 metric=euclidean
k=20
fu_flame 0.857 metric=euclidean
k=1
coli_state 0.53 metric=euclidean
k=2
coli_find 0.244 metric=euclidean
k=20
coli_need 0.55 metric=euclidean
k=1
coli_time 0.404 metric=euclidean
k=8
gionis_aggregation 0.841 metric=euclidean
k=8
veenman_r15 0.979 metric=euclidean
k=15
zahn_compound 0.806 metric=euclidean
k=8
synthetic_spirals 0.667 metric=euclidean
k=1
synthetic_cassini 0.772 metric=euclidean
k=3
twonorm_100d 0.95 metric=euclidean
k=2
twonorm_50d 0.97 metric=euclidean
k=2
synthetic_cuboid 0.857 metric=euclidean
k=4
astral1_161 0.481 metric=euclidean
k=91
tcga 0.911 metric=euclidean
k=2
bone_marrow 0.858 metric=euclidean
k=1
zachary 0.718 metric=euclidean
k=16