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=104 Clustering
clusterdp 0.548 k=22
dc=0.9511393567582567
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=102
Clustering
c-Means 0.0 k=64
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=101 Clustering
DIANA 0.0 metric=euclidean
k=105
Clustering
DBSCAN 1.0 eps=1.0000000000000002
MinPts=101
Clustering
Hierarchical Clustering 0.0 method=complete
k=101
Clustering
fanny 0.0 k=18
membexp=2.0
Clustering
clusterONE 1.0 s=80
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=2000
convits=275
Clustering
Markov Clustering 1.0 I=9.688188188188189 Clustering
Transitivity Clustering 0.0 T=0.9996506460514678 Clustering