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 0.898 k=4 Clustering
clusterdp 0.995 k=25
dc=0.963869225829017
Clustering
AGNES 1.0 method=average
metric=euclidean
k=1
Clustering
c-Means 0.643 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.54 k=5 Clustering
DIANA 1.0 metric=euclidean
k=1
Clustering
DBSCAN 1.0 eps=0.9919709390731151
MinPts=108
Clustering
Hierarchical Clustering 0.995 method=average
k=2
Clustering
fanny 1.0 k=2
membexp=5.0
Clustering
clusterONE 1.0 s=145
d=0.5333333333333333
Clustering
Affinity Propagation 0.409 dampfact=0.99
preference=0.8795640860967228
maxits=3500
convits=350
Clustering
Markov Clustering 1.0 I=9.028928928928929 Clustering
Transitivity Clustering 1.0 T=0.9148871319162026 Clustering
MCODE 0.943 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F
Clustering