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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 0.999 metric=euclidean
k=31
chang_pathbased 0.545 metric=euclidean
k=5
ppi_mips 0.33 metric=euclidean
k=978
chang_spiral 0.331 metric=euclidean
k=3
astral_40_strsim 0.179 metric=euclidean
k=425
astral_40_seqsim_beh 0.211 metric=euclidean
k=470
fraenti_s3 0.474 metric=euclidean
k=16
bone_marrow_fixLabels 0.732 metric=euclidean
k=20
fu_flame 0.61 metric=euclidean
k=2
coli_state 0.392 metric=euclidean
k=2
coli_find 0.128 metric=euclidean
k=13
coli_need 0.387 metric=euclidean
k=1
coli_time 0.264 metric=euclidean
k=1
gionis_aggregation 0.709 metric=euclidean
k=10
veenman_r15 0.923 metric=euclidean
k=10
zahn_compound 0.713 metric=euclidean
k=4
synthetic_spirals 0.498 metric=euclidean
k=1
synthetic_cassini 0.651 metric=euclidean
k=3
twonorm_100d 0.825 metric=euclidean
k=5
twonorm_50d 0.889 metric=euclidean
k=1
synthetic_cuboid 0.729 metric=euclidean
k=4
astral1_161 0.247 metric=euclidean
k=81
tcga 0.849 metric=euclidean
k=2
bone_marrow 0.689 metric=euclidean
k=1
zachary 0.601 metric=euclidean
k=9