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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=single
k=219
chang_pathbased 1.0 method=average
k=103
ppi_mips 1.0 method=single
k=1041
chang_spiral 1.0 method=single
k=210
astral_40_strsim 1.0 method=average
k=956
astral_40_seqsim_beh 1.0 method=single
k=518
fraenti_s3 1.0 method=single
k=4954
bone_marrow_fixLabels 1.0 method=single
k=2
fu_flame 1.0 method=single
k=176
coli_state 1.0 method=average
k=168
coli_find 1.0 method=average
k=418
coli_need 1.0 method=average
k=105
coli_time 1.0 method=complete
k=511
gionis_aggregation 1.0 method=average
k=513
veenman_r15 1.0 method=complete
k=508
zahn_compound 1.0 method=complete
k=141
synthetic_spirals 1.0 method=single
k=53
synthetic_cassini 1.0 method=average
k=95
twonorm_100d 1.0 method=complete
k=200
twonorm_50d 1.0 method=complete
k=197
synthetic_cuboid 1.0 method=complete
k=193
astral1_161 1.0 method=complete
k=225
tcga 1.0 method=single
k=252
bone_marrow 1.0 method=complete
k=32
zachary 1.0 method=single
k=20