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 0.898 k=3 Clustering
clusterdp 0.869 k=13
dc=301.82269369145575
Clustering
AGNES 0.917 method=average
metric=euclidean
k=88
Clustering
c-Means 0.872 k=23
m=5.0
Clustering
k-Medoids (PAM) 0.869 k=16 Clustering
DIANA 0.871 metric=euclidean
k=92
Clustering
DBSCAN 0.835 eps=336.6483891173929
MinPts=439
Clustering
Hierarchical Clustering 0.917 method=complete
k=52
Clustering
fanny 0.862 k=46
membexp=2.0
Clustering
clusterONE 0.274 s=1
d=0.06666666666666667
Clustering
Affinity Propagation 0.845 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.852 I=8.485485485485485 Clustering
Transitivity Clustering 0.91 T=7.320716756203014 Clustering