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 0.064 k=11 Clustering
clusterdp 0.0 k=16
dc=0.4666666666666667
Clustering
AGNES 0.0 method=single
metric=euclidean
k=7
Clustering
c-Means 0.0 k=7
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=19 Clustering
DIANA 0.0 metric=euclidean
k=21
Clustering
DBSCAN 0.0 eps=6.066666666666666
MinPts=2
Clustering
Hierarchical Clustering 0.0 method=average
k=23
Clustering
fanny 0.0 k=12
membexp=1.1
Clustering
clusterONE 0.0 s=1
d=0.43333333333333335
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=7.0
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=6.044444444444444 Clustering
Transitivity Clustering 0.0 T=0.6936936936936937 Clustering