Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.0 k=1046 Clustering
clusterdp 0.0 k=944
dc=16.011699733333334
Clustering
AGNES 0.0 method=single
metric=euclidean
k=537
Clustering
c-Means 0.0 k=128
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=817 Clustering
DIANA 0.0 metric=euclidean
k=605
Clustering
DBSCAN 0.0 eps=30.5677904
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=complete
k=855
Clustering
fanny 0.0 k=213
membexp=1.1
Clustering
clusterONE 1.0 s=315
d=0.06666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=21.834136
maxits=3500
convits=425
Clustering
Markov Clustering 0.001 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=32.084596244244246 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering