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 0.595 k=4 Clustering
clusterdp 0.733 k=25
dc=0.9883665135138708
Clustering
AGNES 0.739 method=single
metric=euclidean
k=2
Clustering
c-Means 0.703 k=8
m=1.01
Clustering
k-Medoids (PAM) 0.728 k=2 Clustering
DIANA 0.739 metric=euclidean
k=1
Clustering
DBSCAN 0.739 eps=0.9720796324332898
MinPts=18
Clustering
Hierarchical Clustering 0.733 method=average
k=3
Clustering
fanny 0.739 k=3
membexp=5.0
Clustering
clusterONE 0.739 s=25
d=0.4
Clustering
Affinity Propagation 0.739 dampfact=0.9175
preference=0.9476493108124179
maxits=3500
convits=275
Clustering
Markov Clustering 0.739 I=6.953153153153154 Clustering
Transitivity Clustering 0.739 T=0.9511603179951686 Clustering