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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 method=average
k=5
chang_pathbased 0.994 method=complete
k=2
ppi_mips 1.0 method=single
k=120
chang_spiral 1.0 method=complete
k=3
astral_40_strsim 0.998 method=complete
k=2
astral_40_seqsim_beh 0.998 method=average
k=2
fraenti_s3 1.0 method=average
k=2
bone_marrow_fixLabels 1.0 method=complete
k=4
fu_flame 0.989 method=average
k=2
coli_state 0.995 method=average
k=2
coli_find 0.999 method=average
k=2
coli_need 0.975 method=average
k=3
coli_time 0.994 method=single
k=2
gionis_aggregation 1.0 method=average
k=9
veenman_r15 1.0 method=average
k=3
zahn_compound 1.0 method=single
k=4
synthetic_spirals 1.0 method=average
k=2
synthetic_cassini 1.0 method=average
k=2
twonorm_100d 0.99 method=average
k=3
twonorm_50d 0.99 method=single
k=2
synthetic_cuboid 1.0 method=complete
k=3
astral1_161 0.996 method=complete
k=2
tcga 1.0 method=single
k=3
bone_marrow 0.973 method=complete
k=2
zachary 1.0 method=average
k=2