Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.917 dampfact=0.99
preference=80.82655383577895
maxits=3500
convits=350
chang_pathbased 0.715 dampfact=0.845
preference=21.97192811293538
maxits=4250
convits=500
ppi_mips 0.254 dampfact=0.99
preference=0.25
maxits=5000
convits=200
chang_spiral 0.714 dampfact=0.7725
preference=0.0
maxits=3500
convits=200
astral_40_strsim 0.789 dampfact=0.7725
preference=0.0
maxits=5000
convits=275
astral_40_seqsim_beh 0.449 dampfact=0.99
preference=0.0
maxits=2000
convits=500
fraenti_s3 0.442 dampfact=0.7725
preference=0.0
maxits=2000
convits=350
bone_marrow_fixLabels 1.0 dampfact=0.845
preference=0.0
maxits=2000
convits=350
fu_flame 0.841 dampfact=0.7
preference=0.0
maxits=2750
convits=200
coli_state 0.506 dampfact=0.7
preference=0.9096730645725422
maxits=2000
convits=275
coli_find 0.373 dampfact=0.9175
preference=0.9090676683577977
maxits=2750
convits=200
coli_need 0.739 dampfact=0.9175
preference=0.9301990810832238
maxits=2750
convits=275
coli_time 0.395 dampfact=0.7725
preference=0.8719264318015347
maxits=3500
convits=425
gionis_aggregation 0.543 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
veenman_r15 0.997 dampfact=0.9175
preference=3.485816296077577
maxits=2000
convits=500
zahn_compound 0.578 dampfact=0.9175
preference=27.586188799832428
maxits=2750
convits=500
synthetic_spirals 0.833 dampfact=0.845
preference=0.8280000000000001
maxits=2750
convits=500
synthetic_cassini 0.726 dampfact=0.7
preference=2.9371545932810177
maxits=4250
convits=500
synthetic_cuboid 0.635 dampfact=0.7725
preference=1.1753919346117954
maxits=5000
convits=200
astral1_161 0.187 dampfact=0.9175
preference=0.0
maxits=3500
convits=200
tcga 0.293 dampfact=0.845
preference=0.387704871560111
maxits=4250
convits=500
bone_marrow 0.947 dampfact=0.7
preference=0.0
maxits=5000
convits=350
zachary 0.612 dampfact=0.99
preference=1.75
maxits=2000
convits=500