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 0.634 k=293 Clustering
clusterdp 0.432 k=2
dc=1.0
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=289
Clustering
c-Means 0.0 k=198
m=1.01
Clustering
k-Medoids (PAM) 0.194 k=285 Clustering
DIANA 0.0 metric=euclidean
k=287
Clustering
DBSCAN 0.0 eps=0.3877048715601111
MinPts=20
Clustering
Hierarchical Clustering 0.0 method=average
k=293
Clustering
fanny 0.0 k=124
membexp=5.0
Clustering
clusterONE Infinity s=30
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.8469262178900278
maxits=2750
convits=500
Clustering
Markov Clustering Infinity I=1.3672672672672674 Clustering
Transitivity Clustering 0.0 T=0.8320631980054759 Clustering