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 -0.042 k=34 Clustering
clusterdp 0.161 k=19
dc=3.966666666666667
Clustering
AGNES 0.261 method=weighted
metric=euclidean
k=19
Clustering
c-Means 0.156 k=11
m=5.0
Clustering
k-Medoids (PAM) 0.139 k=17 Clustering
DIANA 0.214 metric=euclidean
k=22
Clustering
DBSCAN 0.118 eps=7.0
MinPts=7
Clustering
Hierarchical Clustering 0.252 method=single
k=19
Clustering
fanny 0.152 k=8
membexp=2.0
Clustering
clusterONE 0.142 s=12
d=0.03333333333333333
Clustering
Affinity Propagation 0.137 dampfact=0.9175
preference=1.75
maxits=3500
convits=500
Clustering
Markov Clustering 0.146 I=2.0532532532532537 Clustering
Transitivity Clustering 0.242 T=2.5085085085085086 Clustering