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 0.003 k=30 Clustering
clusterdp 0.0 k=8
dc=0.7
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=21
Clustering
c-Means 0.0 k=27
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=10 Clustering
DIANA 0.0 metric=euclidean
k=15
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=complete
k=19
Clustering
fanny 0.0 k=12
membexp=1.1
Clustering
clusterONE 0.0 s=1
d=0.43333333333333335
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=7.0
maxits=5000
convits=425
Clustering
Markov Clustering 0.0 I=7.416416416416417 Clustering
Transitivity Clustering 0.0 T=4.4774774774774775 Clustering