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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=127
chang_pathbased 1.0 method=single
k=116
ppi_mips 1.0 method=complete
k=1038
chang_spiral 1.0 method=average
k=253
astral_40_strsim 1.0 method=complete
k=487
astral_40_seqsim_beh 1.0 method=single
k=653
fraenti_s3 1.0 method=single
k=4969
bone_marrow_fixLabels 1.0 method=single
k=3
fu_flame 1.0 method=complete
k=136
coli_state 1.0 method=complete
k=189
coli_find 1.0 method=average
k=420
coli_need 1.0 method=complete
k=104
coli_time 1.0 method=single
k=511
gionis_aggregation 1.0 method=average
k=338
veenman_r15 1.0 method=single
k=497
zahn_compound 1.0 method=complete
k=311
synthetic_spirals 1.0 method=complete
k=193
synthetic_cassini 1.0 method=average
k=166
twonorm_100d 1.0 method=single
k=200
twonorm_50d 1.0 method=complete
k=195
synthetic_cuboid 1.0 method=single
k=139
astral1_161 1.0 method=single
k=109
tcga 1.0 method=average
k=253
bone_marrow 1.0 method=complete
k=28
zachary 1.0 method=complete
k=24