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 0.91 dampfact=0.99
preference=80.82655383577895
maxits=2000
convits=200
chang_pathbased 0.501 dampfact=0.845
preference=14.647952075290254
maxits=4250
convits=500
ppi_mips 0.17 dampfact=0.99
preference=0.25
maxits=4250
convits=500
chang_spiral 0.5 dampfact=0.99
preference=0.0
maxits=2000
convits=200
astral_40_strsim 0.837 dampfact=0.7
preference=0.0
maxits=2750
convits=350
astral_40_seqsim_beh 0.544 dampfact=0.99
preference=0.0
maxits=2000
convits=500
fraenti_s3 0.547 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 0.689 dampfact=0.99
preference=3.689618035786361
maxits=2000
convits=500
coli_state 0.485 dampfact=0.99
preference=0.8795640860967228
maxits=2750
convits=275
coli_find 0.256 dampfact=0.99
preference=0.9545338341788989
maxits=2750
convits=350
coli_need 0.55 dampfact=0.99
preference=0.9476493108124179
maxits=2000
convits=500
coli_time 0.349 dampfact=0.99
preference=0.9359632159007675
maxits=3500
convits=275
gionis_aggregation 0.485 dampfact=0.99
preference=0.0
maxits=5000
convits=275
veenman_r15 0.997 dampfact=0.99
preference=3.485816296077577
maxits=2000
convits=200
zahn_compound 0.581 dampfact=0.7
preference=9.195396266610809
maxits=2000
convits=350
synthetic_spirals 0.667 dampfact=0.7725
preference=0.0
maxits=4250
convits=350
synthetic_cassini 0.524 dampfact=0.9175
preference=0.9790515310936726
maxits=2750
convits=200
synthetic_cuboid 0.657 dampfact=0.845
preference=0.0
maxits=4250
convits=500
astral1_161 0.267 dampfact=0.9175
preference=0.0
maxits=2750
convits=275
tcga 0.389 dampfact=0.845
preference=0.387704871560111
maxits=4250
convits=500
bone_marrow 0.948 dampfact=0.7
preference=0.0
maxits=4250
convits=200
zachary 0.715 dampfact=0.845
preference=3.5
maxits=2000
convits=275