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 0.067 k=278 Clustering
clusterdp 0.017 k=20
dc=0.8571311366973593
Clustering
AGNES 0.0 method=single
metric=euclidean
k=23
Clustering
c-Means 0.0 k=275
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=64 Clustering
DIANA 0.0 metric=euclidean
k=120
Clustering
DBSCAN 0.0 eps=0.7550819486240444
MinPts=215
Clustering
Hierarchical Clustering 0.0 method=complete
k=120
Clustering
fanny 0.0 k=44
membexp=1.1
Clustering
clusterONE 0.446 s=254
d=0.1
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.6938524357800555
maxits=2000
convits=350
Clustering
Markov Clustering 0.446 I=3.870670670670671 Clustering
Transitivity Clustering 0.0 T=0.6457391549166608 Clustering