Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » MCODE » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.996 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
chang_spiral 0.698 v=0.4
cutoff=26.519285435320466
haircut=F
fluff=T
astral_40_strsim 0.97 v=0.8
cutoff=5.458534
haircut=F
fluff=T
astral_40_seqsim_beh 0.679 v=0.8
cutoff=4.820790416847334
haircut=F
fluff=T
fraenti_s3 0.598 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F
bone_marrow_fixLabels 0.361 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.492 v=0.2
cutoff=14.143535803847717
haircut=T
fluff=T
coli_state 0.56 v=0.9
cutoff=0.994981836920697
haircut=F
fluff=T
coli_find 0.677 v=0.8
cutoff=0.9962111528482418
haircut=F
fluff=T
coli_time 0.599 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=F
gionis_aggregation 0.929 v=0.2
cutoff=30.728906496073773
haircut=T
fluff=T
veenman_r15 0.993 v=0.5
cutoff=12.781326418951116
haircut=T
fluff=T
zahn_compound 0.902 v=0.1
cutoff=29.11875484426756
haircut=T
fluff=F
synthetic_spirals 0.525 v=0.1
cutoff=1.518
haircut=T
fluff=F
synthetic_cassini 0.99 v=0.2
cutoff=1.6317525518227878
haircut=T
fluff=T
twonorm_100d 0.551 v=0.9
cutoff=4.552513269336507
haircut=T
fluff=T
twonorm_50d 0.622 v=0.9
cutoff=4.895619710727704
haircut=T
fluff=T
synthetic_cuboid 0.908 v=0
cutoff=0.7182950711516526
haircut=F
fluff=F