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 0.583 k=4 Clustering
clusterdp 0.975 k=25
dc=0.9860398162166449
Clustering
AGNES 1.0 method=single
metric=euclidean
k=2
Clustering
c-Means 0.854 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.951 k=2 Clustering
DIANA 1.0 metric=euclidean
k=1
Clustering
DBSCAN 1.0 eps=0.9976733027027743
MinPts=4
Clustering
Hierarchical Clustering 0.975 method=average
k=3
Clustering
fanny 1.0 k=2
membexp=5.0
Clustering
clusterONE 1.0 s=70
d=0.5333333333333333
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=0.9476493108124179
maxits=3500
convits=200
Clustering
Markov Clustering 1.0 I=6.561161161161161 Clustering
Transitivity Clustering 1.0 T=0.9493436774628 Clustering