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=1095
dc=0.9
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=1095
Clustering
c-Means 0.0 k=888
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=1067 Clustering
DIANA 0.0 metric=euclidean
k=1068
Clustering
DBSCAN 0.003 eps=0.8333333333333334
MinPts=729
Clustering
Hierarchical Clustering 0.0 method=average
k=1080
Clustering
fanny 0.0 k=376
membexp=5.0
Clustering
clusterONE 0.004 s=1
d=0.8333333333333334
Clustering
Affinity Propagation 0.567 dampfact=0.7
preference=0.5
maxits=2000
convits=200
Clustering
Markov Clustering 0.007 I=4.235935935935936 Clustering
Transitivity Clustering 0.0 T=1.0 Clustering