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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=32
chang_pathbased 1.0 metric=euclidean
k=2
ppi_mips 1.0 metric=euclidean
k=36
chang_spiral 1.0 metric=euclidean
k=1
astral_40_strsim 1.0 metric=euclidean
k=24
astral_40_seqsim_beh 1.0 metric=euclidean
k=1
fraenti_s3 1.0 metric=euclidean
k=2
bone_marrow_fixLabels 1.0 metric=euclidean
k=10
fu_flame 1.0 metric=euclidean
k=1
coli_state 1.0 metric=euclidean
k=1
coli_find 1.0 metric=euclidean
k=6
coli_need 1.0 metric=euclidean
k=8
coli_time 1.0 metric=euclidean
k=3
gionis_aggregation 1.0 metric=euclidean
k=4
veenman_r15 1.0 metric=euclidean
k=10
zahn_compound 1.0 metric=euclidean
k=30
synthetic_spirals 1.0 metric=euclidean
k=1
synthetic_cassini 1.0 metric=euclidean
k=1
twonorm_100d 1.0 metric=euclidean
k=1
twonorm_50d 1.0 metric=euclidean
k=1
synthetic_cuboid 1.0 metric=euclidean
k=1
astral1_161 1.0 metric=euclidean
k=1
tcga 1.0 metric=euclidean
k=1
bone_marrow 1.0 metric=euclidean
k=1
zachary 1.0 metric=euclidean
k=17