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 0.609 k=10
dc=0.9301990810832238
Clustering
AGNES 0.0 method=average
metric=euclidean
k=102
Clustering
c-Means 0.0 k=102
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=101 Clustering
DIANA 0.0 metric=euclidean
k=105
Clustering
DBSCAN 0.613 eps=0.9325257783804497
MinPts=42
Clustering
Hierarchical Clustering 0.0 method=average
k=105
Clustering
fanny 0.523 k=48
membexp=1.1
Clustering
clusterONE 0.613 s=91
d=0.4666666666666667
Clustering
Affinity Propagation 0.578 dampfact=0.7725
preference=0.9476493108124179
maxits=5000
convits=500
Clustering
Markov Clustering 0.613 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=0.9997205168411744 Clustering