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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 0.996 metric=euclidean
k=25
chang_pathbased 0.604 metric=euclidean
k=4
ppi_mips 0.82 metric=euclidean
k=975
chang_spiral 0.476 metric=euclidean
k=38
astral_40_strsim 0.846 metric=euclidean
k=479
astral_40_seqsim_beh 0.846 metric=euclidean
k=487
fraenti_s3 0.748 metric=euclidean
k=16
bone_marrow_fixLabels 0.801 metric=euclidean
k=20
fu_flame 0.582 metric=euclidean
k=4
coli_state 0.372 metric=euclidean
k=147
coli_find 0.546 metric=euclidean
k=415
coli_need 0.359 metric=euclidean
k=101
coli_time 0.397 metric=euclidean
k=511
gionis_aggregation 0.807 metric=euclidean
k=3
veenman_r15 0.973 metric=euclidean
k=12
zahn_compound 0.799 metric=euclidean
k=8
synthetic_spirals 0.282 metric=euclidean
k=75
synthetic_cassini 0.635 metric=euclidean
k=2
twonorm_100d 0.738 metric=euclidean
k=1
twonorm_50d 0.835 metric=euclidean
k=5
synthetic_cuboid 0.857 metric=euclidean
k=4
astral1_161 0.613 metric=euclidean
k=91
tcga 0.799 metric=euclidean
k=2
bone_marrow 0.692 metric=euclidean
k=3
zachary 0.589 metric=euclidean
k=10