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 0.003 k=30 Clustering
clusterdp 0.0 k=21
dc=0.9333333333333333
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=11
Clustering
c-Means 0.0 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=31 Clustering
DIANA 0.0 metric=euclidean
k=24
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=average
k=3
Clustering
fanny 0.0 k=26
membexp=2.0
Clustering
clusterONE 0.0 s=1
d=1.0
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=5.25
maxits=2000
convits=425
Clustering
Markov Clustering 0.0 I=9.982182182182182 Clustering
Transitivity Clustering 0.0 T=4.386386386386387 Clustering