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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=230
chang_pathbased 1.0 metric=euclidean
k=222
ppi_mips 1.0 metric=euclidean
k=1068
chang_spiral 1.0 metric=euclidean
k=266
astral_40_strsim 1.0 metric=euclidean
k=632
astral_40_seqsim_beh 1.0 metric=euclidean
k=749
fraenti_s3 1.0 metric=euclidean
k=4509
bone_marrow_fixLabels 0.984 metric=euclidean
k=20
fu_flame 1.0 metric=euclidean
k=137
coli_state 1.0 metric=euclidean
k=173
coli_find 1.0 metric=euclidean
k=418
coli_need 1.0 metric=euclidean
k=101
coli_time 1.0 metric=euclidean
k=511
gionis_aggregation 1.0 metric=euclidean
k=554
veenman_r15 1.0 metric=euclidean
k=595
zahn_compound 1.0 metric=euclidean
k=323
synthetic_spirals 1.0 metric=euclidean
k=238
synthetic_cassini 1.0 metric=euclidean
k=64
twonorm_100d 1.0 metric=euclidean
k=199
twonorm_50d 1.0 metric=euclidean
k=184
synthetic_cuboid 1.0 metric=euclidean
k=62
astral1_161 1.0 metric=euclidean
k=300
tcga 1.0 metric=euclidean
k=39
bone_marrow 1.0 metric=euclidean
k=38
zachary 1.0 metric=euclidean
k=15