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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=89
ppi_mips 1.0 metric=euclidean
k=1068
chang_spiral 1.0 metric=euclidean
k=150
astral_40_strsim 1.0 metric=euclidean
k=619
astral_40_seqsim_beh 1.0 metric=euclidean
k=655
fraenti_s3 1.0 metric=euclidean
k=4519
bone_marrow_fixLabels 0.984 metric=euclidean
k=20
fu_flame 1.0 metric=euclidean
k=181
coli_state 1.0 metric=euclidean
k=178
coli_find 1.0 metric=euclidean
k=419
coli_need 1.0 metric=euclidean
k=101
coli_time 1.0 metric=euclidean
k=511
gionis_aggregation 1.0 metric=euclidean
k=426
veenman_r15 1.0 metric=euclidean
k=559
zahn_compound 1.0 metric=euclidean
k=294
synthetic_spirals 1.0 metric=euclidean
k=77
synthetic_cassini 1.0 metric=euclidean
k=34
twonorm_100d 1.0 metric=euclidean
k=200
twonorm_50d 1.0 metric=euclidean
k=194
synthetic_cuboid 1.0 metric=euclidean
k=150
astral1_161 1.0 metric=euclidean
k=263
tcga 1.0 metric=euclidean
k=58
bone_marrow 1.0 metric=euclidean
k=28
zachary 1.0 metric=euclidean
k=9