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 0.451 k=14 Clustering
clusterdp 0.995 k=5
dc=247.86809842972212
Clustering
AGNES 0.999 method=average
metric=euclidean
k=27
Clustering
c-Means 0.644 k=4
m=2.25
Clustering
k-Medoids (PAM) 0.909 k=11 Clustering
DIANA 0.999 metric=euclidean
k=25
Clustering
DBSCAN 0.237 eps=75.4381169133937
MinPts=47
Clustering
Hierarchical Clustering 0.999 method=complete
k=25
Clustering
fanny 0.525 k=21
membexp=2.0
Clustering
clusterONE 0.953 s=1
d=0.1
Clustering
Affinity Propagation 0.969 dampfact=0.99
preference=80.82655383577895
maxits=2000
convits=350
Clustering
Markov Clustering 0.976 I=2.1957957957957963 Clustering
Transitivity Clustering 0.996 T=47.5735872426807 Clustering
MCODE 0.981 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
Clustering