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 0.0 k=1094 Clustering
clusterdp 0.0 k=1058
dc=0.6
Clustering
AGNES 0.0 method=single
metric=euclidean
k=1095
Clustering
c-Means 0.0 k=244
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=1046 Clustering
DIANA 0.0 metric=euclidean
k=1068
Clustering
DBSCAN 0.003 eps=0.13333333333333333
MinPts=729
Clustering
Hierarchical Clustering 0.0 method=average
k=1094
Clustering
fanny 0.0 k=531
membexp=1.1
Clustering
clusterONE 0.004 s=1
d=0.6
Clustering
Affinity Propagation 0.567 dampfact=0.7
preference=0.0
maxits=4250
convits=275
Clustering
Markov Clustering 0.007 I=5.028828828828829 Clustering
Transitivity Clustering 0.0 T=1.0 Clustering