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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 0.994 method=complete
k=25
chang_pathbased 0.7 method=average
k=9
ppi_mips 0.963 method=single
k=150
chang_spiral 1.0 method=complete
k=3
astral_40_strsim 0.947 method=complete
k=184
astral_40_seqsim_beh 0.881 method=average
k=345
fraenti_s3 0.75 method=complete
k=17
bone_marrow_fixLabels 1.0 method=complete
k=4
fu_flame 0.822 method=single
k=12
coli_state 0.383 method=single
k=129
coli_find 0.546 method=average
k=418
coli_need 0.359 method=single
k=103
coli_time 0.397 method=complete
k=509
gionis_aggregation 0.971 method=single
k=6
veenman_r15 0.991 method=complete
k=14
zahn_compound 0.843 method=complete
k=6
synthetic_spirals 1.0 method=average
k=2
synthetic_cassini 1.0 method=average
k=2
twonorm_100d 0.509 method=single
k=2
twonorm_50d 0.524 method=average
k=12
synthetic_cuboid 1.0 method=average
k=5
astral1_161 0.733 method=complete
k=52
tcga 0.986 method=average
k=4
bone_marrow 0.789 method=average
k=4
zachary 1.0 method=average
k=2