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 0.264 k=2 Clustering
clusterdp 0.263 k=8
dc=0.8719264318015347
Clustering
AGNES 0.264 method=average
metric=euclidean
k=1
Clustering
c-Means 0.257 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.241 k=2 Clustering
DIANA 0.264 metric=euclidean
k=1
Clustering
DBSCAN 0.264 eps=0.8719264318015347
MinPts=171
Clustering
Hierarchical Clustering 0.263 method=average
k=2
Clustering
fanny 0.264 k=2
membexp=5.0
Clustering
clusterONE 0.264 s=494
d=0.3333333333333333
Clustering
Affinity Propagation 0.182 dampfact=0.9175
preference=0.8719264318015347
maxits=2750
convits=500
Clustering
Markov Clustering 0.264 I=1.2247247247247248 Clustering
Transitivity Clustering 0.264 T=0.890643890216926 Clustering
MCODE 0.227 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
Clustering