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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 0.993 dampfact=0.845
preference=80.82655383577895
maxits=5000
convits=275
chang_pathbased 0.735 dampfact=0.7
preference=7.323976037645127
maxits=2000
convits=500
ppi_mips 0.443 dampfact=0.845
preference=0.5
maxits=5000
convits=275
chang_spiral 0.702 dampfact=0.7
preference=7.576938695805847
maxits=4250
convits=500
astral_40_strsim 0.996 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
astral_40_seqsim_beh 0.99 dampfact=0.7725
preference=0.0
maxits=2000
convits=200
fraenti_s3 0.946 dampfact=0.99
preference=0.0
maxits=4250
convits=275
bone_marrow_fixLabels 1.0 dampfact=0.99
preference=0.0
maxits=2000
convits=275
fu_flame 0.553 dampfact=0.99
preference=0.0
maxits=2000
convits=350
coli_state 0.609 dampfact=0.7
preference=1.0000000000000002
maxits=2750
convits=500
coli_find 0.873 dampfact=0.845
preference=1.0000000000000002
maxits=4250
convits=500
coli_need 0.613 dampfact=0.99
preference=1.0000000000000002
maxits=5000
convits=500
coli_time 0.736 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=500
gionis_aggregation 0.833 dampfact=0.845
preference=0.0
maxits=3500
convits=200
veenman_r15 0.999 dampfact=0.7
preference=0.0
maxits=2000
convits=350
zahn_compound 0.819 dampfact=0.7725
preference=9.195396266610809
maxits=4250
convits=275
synthetic_spirals 0.521 dampfact=0.7
preference=2.484
maxits=3500
convits=425
synthetic_cassini 0.721 dampfact=0.7725
preference=0.0
maxits=2000
convits=350
synthetic_cuboid 0.843 dampfact=0.7725
preference=0.0
maxits=5000
convits=425
astral1_161 0.845 dampfact=0.9175
preference=0.0
maxits=2750
convits=350
tcga 0.517 dampfact=0.845
preference=0.387704871560111
maxits=4250
convits=500
bone_marrow 0.939 dampfact=0.845
preference=0.0
maxits=4250
convits=200
zachary 0.695 dampfact=0.9175
preference=1.75
maxits=2000
convits=200