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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=225
chang_pathbased 1.0 metric=euclidean
k=91
ppi_mips 1.0 metric=euclidean
k=1068
chang_spiral 1.0 metric=euclidean
k=173
astral_40_strsim 1.0 metric=euclidean
k=939
astral_40_seqsim_beh 1.0 metric=euclidean
k=770
fraenti_s3 1.0 metric=euclidean
k=4519
bone_marrow_fixLabels 0.984 metric=euclidean
k=20
fu_flame 1.0 metric=euclidean
k=216
coli_state 1.0 metric=euclidean
k=174
coli_find 1.0 metric=euclidean
k=419
coli_need 1.0 metric=euclidean
k=102
coli_time 1.0 metric=euclidean
k=511
gionis_aggregation 1.0 metric=euclidean
k=671
veenman_r15 1.0 metric=euclidean
k=509
zahn_compound 1.0 metric=euclidean
k=351
synthetic_spirals 1.0 metric=euclidean
k=195
synthetic_cassini 1.0 metric=euclidean
k=29
twonorm_100d 1.0 metric=euclidean
k=199
twonorm_50d 1.0 metric=euclidean
k=194
synthetic_cuboid 1.0 metric=euclidean
k=225
astral1_161 1.0 metric=euclidean
k=493
tcga 1.0 metric=euclidean
k=19
bone_marrow 1.0 metric=euclidean
k=35
zachary 1.0 metric=euclidean
k=13