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 0.998 k=2 Clustering
clusterdp 0.994 k=25
dc=0.8847337886213812
Clustering
AGNES 1.0 method=average
metric=euclidean
k=1
Clustering
c-Means 0.921 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.794 k=2 Clustering
DIANA 1.0 metric=euclidean
k=3
Clustering
DBSCAN 1.0 eps=0.9615779295404605
MinPts=222
Clustering
Hierarchical Clustering 0.994 method=average
k=2
Clustering
fanny 1.0 k=3
membexp=1.1
Clustering
clusterONE 1.0 s=307
d=1.0
Clustering
Affinity Propagation 0.395 dampfact=0.7725
preference=0.9039448238511512
maxits=2000
convits=425
Clustering
Markov Clustering 1.0 I=7.024424424424424 Clustering
Transitivity Clustering 1.0 T=0.9252583681084032 Clustering
MCODE 0.574 v=0.2
cutoff=0.9946636013250642
haircut=F
fluff=F
Clustering