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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=217
chang_pathbased 1.0 metric=euclidean
k=219
ppi_mips 1.0 metric=euclidean
k=1068
chang_spiral 1.0 metric=euclidean
k=53
astral_40_strsim 1.0 metric=euclidean
k=1013
astral_40_seqsim_beh 1.0 metric=euclidean
k=1036
fraenti_s3 1.0 metric=euclidean
k=4509
bone_marrow_fixLabels 0.984 metric=euclidean
k=20
fu_flame 1.0 metric=euclidean
k=181
coli_state 1.0 metric=euclidean
k=174
coli_find 1.0 metric=euclidean
k=419
coli_need 1.0 metric=euclidean
k=105
coli_time 1.0 metric=euclidean
k=508
gionis_aggregation 1.0 metric=euclidean
k=713
veenman_r15 1.0 metric=euclidean
k=561
zahn_compound 1.0 metric=euclidean
k=335
synthetic_spirals 1.0 metric=euclidean
k=80
synthetic_cassini 1.0 metric=euclidean
k=91
twonorm_100d 1.0 metric=euclidean
k=199
twonorm_50d 1.0 metric=euclidean
k=194
synthetic_cuboid 1.0 metric=euclidean
k=165
astral1_161 1.0 metric=euclidean
k=178
tcga 1.0 metric=euclidean
k=3
bone_marrow 1.0 metric=euclidean
k=35
zachary 1.0 metric=euclidean
k=12