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 0.493 k=4 Clustering
clusterdp 0.547 k=25
dc=0.9953466054055485
Clustering
AGNES 0.55 method=weighted
metric=euclidean
k=1
Clustering
c-Means 0.536 k=8
m=1.01
Clustering
k-Medoids (PAM) 0.546 k=3 Clustering
DIANA 0.55 metric=euclidean
k=1
Clustering
DBSCAN 0.55 eps=0.9720796324332898
MinPts=18
Clustering
Hierarchical Clustering 0.547 method=average
k=3
Clustering
fanny 0.551 k=9
membexp=5.0
Clustering
clusterONE 0.55 s=101
d=0.43333333333333335
Clustering
Affinity Propagation 0.55 dampfact=0.99
preference=0.9476493108124179
maxits=4250
convits=500
Clustering
Markov Clustering 0.55 I=4.048848848848849 Clustering
Transitivity Clustering 0.55 T=0.933413137409722 Clustering