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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=complete
k=25
chang_pathbased 0.867 method=average
k=9
ppi_mips 0.996 method=average
k=153
chang_spiral 1.0 method=complete
k=3
astral_40_strsim 0.997 method=complete
k=228
astral_40_seqsim_beh 0.993 method=average
k=345
fraenti_s3 0.957 method=complete
k=17
bone_marrow_fixLabels 1.0 method=complete
k=4
fu_flame 0.956 method=single
k=12
coli_state 0.632 method=complete
k=134
coli_find 0.874 method=single
k=398
coli_need 0.614 method=complete
k=101
coli_time 0.736 method=complete
k=477
gionis_aggregation 0.994 method=single
k=6
veenman_r15 0.998 method=complete
k=14
zahn_compound 0.98 method=single
k=57
synthetic_spirals 1.0 method=average
k=2
synthetic_cassini 1.0 method=average
k=2
twonorm_100d 0.803 method=single
k=2
twonorm_50d 0.82 method=average
k=12
synthetic_cuboid 1.0 method=complete
k=3
astral1_161 0.917 method=complete
k=52
tcga 0.995 method=average
k=4
bone_marrow 0.913 method=average
k=4
zachary 1.0 method=average
k=2