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 0.653 k=14 Clustering
clusterdp 0.997 k=5
dc=247.86809842972212
Clustering
AGNES 0.999 method=average
metric=euclidean
k=27
Clustering
c-Means 0.798 k=4
m=2.25
Clustering
k-Medoids (PAM) 0.953 k=11 Clustering
DIANA 1.0 metric=euclidean
k=25
Clustering
DBSCAN 0.481 eps=75.4381169133937
MinPts=47
Clustering
Hierarchical Clustering 0.999 method=complete
k=25
Clustering
fanny 0.702 k=3
membexp=2.0
Clustering
clusterONE 0.976 s=1
d=0.1
Clustering
Affinity Propagation 0.984 dampfact=0.99
preference=80.82655383577895
maxits=2000
convits=350
Clustering
Markov Clustering 0.988 I=2.1957957957957963 Clustering
Transitivity Clustering 0.998 T=47.5735872426807 Clustering
MCODE 0.99 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
Clustering