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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=153
chang_pathbased 1.0 method=complete
k=224
ppi_mips 1.0 method=complete
k=1038
chang_spiral 1.0 method=single
k=124
astral_40_strsim 1.0 method=complete
k=849
astral_40_seqsim_beh 1.0 method=average
k=939
fraenti_s3 1.0 method=complete
k=4969
bone_marrow_fixLabels 1.0 method=average
k=5
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=single
k=591
veenman_r15 1.0 method=average
k=540
zahn_compound 1.0 method=single
k=343
synthetic_spirals 1.0 method=single
k=86
synthetic_cassini 1.0 method=single
k=239
twonorm_100d 1.0 method=complete
k=200
twonorm_50d 1.0 method=complete
k=197
synthetic_cuboid 1.0 method=average
k=241
astral1_161 1.0 method=average
k=478
tcga 1.0 method=single
k=261
bone_marrow 1.0 method=complete
k=32
zachary 1.0 method=single
k=24