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 0.984 dampfact=0.7
preference=80.82655383577895
maxits=4250
convits=350
chang_pathbased 0.577 dampfact=0.845
preference=14.647952075290254
maxits=2750
convits=500
ppi_mips 0.168 dampfact=0.99
preference=0.25
maxits=5000
convits=200
chang_spiral 0.576 dampfact=0.7
preference=0.0
maxits=3500
convits=275
astral_40_strsim 0.783 dampfact=0.9175
preference=0.0
maxits=3500
convits=200
astral_40_seqsim_beh 0.385 dampfact=0.845
preference=0.0
maxits=2000
convits=500
fraenti_s3 0.447 dampfact=0.7725
preference=0.0
maxits=2000
convits=350
bone_marrow_fixLabels 1.0 dampfact=0.845
preference=0.0
maxits=2000
convits=200
fu_flame 0.732 dampfact=0.7725
preference=11.068854107359083
maxits=4250
convits=500
coli_state 0.406 dampfact=0.7725
preference=0.9096730645725422
maxits=2000
convits=275
coli_find 0.298 dampfact=0.99
preference=0.9090676683577977
maxits=4250
convits=350
coli_need 0.622 dampfact=0.7725
preference=0.9476493108124179
maxits=2750
convits=350
coli_time 0.316 dampfact=0.9175
preference=0.9039448238511512
maxits=2000
convits=275
gionis_aggregation 0.48 dampfact=0.9175
preference=0.0
maxits=2000
convits=275
veenman_r15 0.993 dampfact=0.845
preference=6.971632592155154
maxits=2000
convits=200
zahn_compound 0.522 dampfact=0.99
preference=9.195396266610809
maxits=4250
convits=425
synthetic_spirals 0.706 dampfact=0.99
preference=0.0
maxits=2750
convits=200
synthetic_cassini 0.598 dampfact=0.9175
preference=0.0
maxits=2000
convits=275
synthetic_cuboid 0.631 dampfact=0.845
preference=0.0
maxits=4250
convits=425
astral1_161 0.256 dampfact=0.845
preference=0.0
maxits=2750
convits=350
tcga 0.359 dampfact=0.845
preference=0.387704871560111
maxits=4250
convits=500
bone_marrow 0.917 dampfact=0.7725
preference=0.0
maxits=3500
convits=200
zachary 0.611 dampfact=0.7
preference=1.75
maxits=2000
convits=275