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 0.858 k=15 Clustering
clusterdp 0.999 k=5
dc=247.86809842972212
Clustering
AGNES 1.0 method=average
metric=euclidean
k=27
Clustering
c-Means 0.899 k=14
m=1.5
Clustering
k-Medoids (PAM) 0.979 k=11 Clustering
DIANA 1.0 metric=euclidean
k=25
Clustering
DBSCAN 0.832 eps=312.5293414983453
MinPts=224
Clustering
Hierarchical Clustering 1.0 method=complete
k=25
Clustering
fanny 0.872 k=21
membexp=2.0
Clustering
clusterONE 0.99 s=1
d=0.1
Clustering
Affinity Propagation 0.993 dampfact=0.99
preference=80.82655383577895
maxits=2000
convits=350
Clustering
Markov Clustering 0.995 I=2.1957957957957963 Clustering
Transitivity Clustering 0.999 T=47.5735872426807 Clustering
MCODE 0.996 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
Clustering