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 0.651 k=15 Clustering
clusterdp 0.979 k=5
dc=247.86809842972212
Clustering
AGNES 0.993 method=average
metric=euclidean
k=27
Clustering
c-Means 0.75 k=14
m=1.5
Clustering
k-Medoids (PAM) 0.888 k=11 Clustering
DIANA 0.995 metric=euclidean
k=24
Clustering
DBSCAN 0.593 eps=312.5293414983453
MinPts=224
Clustering
Hierarchical Clustering 0.993 method=complete
k=25
Clustering
fanny 0.759 k=21
membexp=2.0
Clustering
clusterONE 0.948 s=1
d=0.1
Clustering
Affinity Propagation 0.917 dampfact=0.7725
preference=80.82655383577895
maxits=2750
convits=425
Clustering
Markov Clustering 0.948 I=1.67017017017017 Clustering
Transitivity Clustering 0.987 T=40.45373064853801 Clustering
MCODE 0.952 v=0.3
cutoff=40.413276917889476
haircut=T
fluff=T
Clustering