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 0.513 k=2 Clustering
clusterdp 0.512 k=8
dc=0.8719264318015347
Clustering
AGNES 0.513 method=average
metric=euclidean
k=1
Clustering
c-Means 0.492 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.452 k=2 Clustering
DIANA 0.513 metric=euclidean
k=1
Clustering
DBSCAN 0.513 eps=0.9487705727206139
MinPts=273
Clustering
Hierarchical Clustering 0.512 method=average
k=2
Clustering
fanny 0.513 k=2
membexp=5.0
Clustering
clusterONE 0.513 s=86
d=0.8666666666666667
Clustering
Affinity Propagation 0.316 dampfact=0.9175
preference=0.8719264318015347
maxits=3500
convits=350
Clustering
Markov Clustering 0.513 I=1.1 Clustering
Transitivity Clustering 0.513 T=0.8738494583510612 Clustering
MCODE 0.396 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
Clustering