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 0.991 k=2 Clustering
clusterdp 0.979 k=38
dc=0.3333333333333333
Clustering
AGNES 1.0 method=ward
metric=euclidean
k=1
Clustering
c-Means 1.0 k=2
m=1.5
Clustering
k-Medoids (PAM) 1.0 k=20 Clustering
DIANA 1.0 metric=euclidean
k=36
Clustering
DBSCAN 1.0 eps=0.7333333333333333
MinPts=37
Clustering
Hierarchical Clustering 1.0 method=complete
k=11
Clustering
fanny 1.0 k=2
membexp=2.0
Clustering
clusterONE 1.0 s=37
d=0.1
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0
maxits=4250
convits=500
Clustering
Markov Clustering 1.0 I=1.1 Clustering
Transitivity Clustering 1.0 T=0.004004004004004004 Clustering