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=18 Clustering
clusterdp NaN k=12
dc=0.9511393567582567
Clustering
AGNES 0.791 method=complete
metric=euclidean
k=1
Clustering
c-Means 0.651 k=2
m=1.01
Clustering
k-Medoids (PAM) NaN k=2 Clustering
DIANA 0.78 metric=euclidean
k=4
Clustering
DBSCAN NaN eps=0.9325257783804497
MinPts=63
Clustering
Hierarchical Clustering NaN method=single
k=34
Clustering
fanny NaN k=8
membexp=5.0
Clustering
clusterONE NaN s=14
d=0.7
Clustering
Affinity Propagation NaN dampfact=0.7725
preference=0.9301990810832238
maxits=2750
convits=275
Clustering
Markov Clustering NaN I=5.438638638638639 Clustering
Transitivity Clustering NaN T=0.9311074013494081 Clustering