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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 1.0 metric=euclidean
k=25
chang_pathbased 0.832 metric=euclidean
k=6
ppi_mips 0.989 metric=euclidean
k=971
chang_spiral 0.699 metric=euclidean
k=38
astral_40_strsim 0.991 metric=euclidean
k=462
astral_40_seqsim_beh 0.991 metric=euclidean
k=472
fraenti_s3 0.955 metric=euclidean
k=33
bone_marrow_fixLabels 0.9 metric=euclidean
k=20
fu_flame 0.75 metric=euclidean
k=1
coli_state 0.615 metric=euclidean
k=133
coli_find 0.874 metric=euclidean
k=399
coli_need 0.614 metric=euclidean
k=100
coli_time 0.736 metric=euclidean
k=471
gionis_aggregation 0.914 metric=euclidean
k=52
veenman_r15 0.995 metric=euclidean
k=13
zahn_compound 0.915 metric=euclidean
k=8
synthetic_spirals 0.515 metric=euclidean
k=64
synthetic_cassini 0.819 metric=euclidean
k=3
twonorm_100d 0.905 metric=euclidean
k=1
twonorm_50d 0.942 metric=euclidean
k=5
synthetic_cuboid 0.909 metric=euclidean
k=4
astral1_161 0.871 metric=euclidean
k=91
tcga 0.902 metric=euclidean
k=2
bone_marrow 0.875 metric=euclidean
k=3
zachary 0.806 metric=euclidean
k=9