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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 0.995 metric=euclidean
k=25
chang_pathbased 0.745 metric=euclidean
k=76
ppi_mips 0.271 metric=euclidean
k=978
chang_spiral 0.714 metric=euclidean
k=1
astral_40_strsim 0.391 metric=euclidean
k=425
astral_40_seqsim_beh 0.434 metric=euclidean
k=457
fraenti_s3 0.769 metric=euclidean
k=16
bone_marrow_fixLabels 0.862 metric=euclidean
k=20
fu_flame 0.852 metric=euclidean
k=1
coli_state 0.698 metric=euclidean
k=1
coli_find 0.398 metric=euclidean
k=124
coli_need 0.739 metric=euclidean
k=1
coli_time 0.597 metric=euclidean
k=1
gionis_aggregation 0.879 metric=euclidean
k=10
veenman_r15 0.977 metric=euclidean
k=13
zahn_compound 0.8 metric=euclidean
k=10
synthetic_spirals 0.833 metric=euclidean
k=1
synthetic_cassini 0.844 metric=euclidean
k=2
twonorm_100d 0.95 metric=euclidean
k=1
twonorm_50d 0.97 metric=euclidean
k=5
synthetic_cuboid 0.911 metric=euclidean
k=3
astral1_161 0.53 metric=euclidean
k=13
tcga 0.94 metric=euclidean
k=75
bone_marrow 0.832 metric=euclidean
k=3
zachary 0.834 metric=euclidean
k=17