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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 I=1.1712712712712714
chang_pathbased 1.0 I=6.258258258258258
ppi_mips 1.0 I=1.67017017017017
chang_spiral 1.0 I=7.389689689689691
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=9.714914914914916
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=3.478678678678679
coli_state 1.0 I=2.659059059059059
coli_find 1.0 I=9.839639639639639
coli_need 1.0 I=1.108908908908909
coli_time 1.0 I=9.91981981981982
gionis_aggregation 1.0 I=9.875275275275275
veenman_r15 1.0 I=6.953153153153154
zahn_compound 1.0 I=4.102302302302303
synthetic_spirals 1.0 I=6.801701701701702
synthetic_cassini 1.0 I=1.8661661661661664
twonorm_100d 1.0 I=8.77947947947948
twonorm_50d 1.0 I=3.558858858858859
synthetic_cuboid 1.0 I=8.922022022022022
astral1_161 1.0 I=1.3405405405405406
tcga 1.0 I=8.2983983983984
bone_marrow 1.0 I=8.726026026026027
zachary 1.0 I=1.58998998998999