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 NaN k=2 Clustering
clusterdp NaN k=2
dc=0.9090676683577977
Clustering
AGNES 0.813 method=weighted
metric=euclidean
k=2
Clustering
c-Means 0.636 k=2
m=1.01
Clustering
k-Medoids (PAM) NaN k=11 Clustering
DIANA 0.769 metric=euclidean
k=1
Clustering
DBSCAN NaN eps=0.9090676683577977
MinPts=140
Clustering
Hierarchical Clustering NaN method=complete
k=2
Clustering
fanny NaN k=2
membexp=2.0
Clustering
clusterONE NaN s=1
d=0.43333333333333335
Clustering
Affinity Propagation NaN dampfact=0.99
preference=0.9090676683577977
maxits=2000
convits=350
Clustering
Markov Clustering NaN I=1.6434434434434437 Clustering
Transitivity Clustering NaN T=0.909158691712795 Clustering
MCODE -0.109 v=0.7
cutoff=0.9962111528482418
haircut=T
fluff=F
Clustering