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 0.376 k=4 Clustering
clusterdp 0.396 k=21
dc=0.9393784455718652
Clustering
AGNES 0.398 method=single
metric=euclidean
k=10
Clustering
c-Means 0.39 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.353 k=2 Clustering
DIANA 0.398 metric=euclidean
k=7
Clustering
DBSCAN 0.394 eps=0.9090676683577977
MinPts=420
Clustering
Hierarchical Clustering 0.398 method=average
k=10
Clustering
fanny 0.399 k=32
membexp=5.0
Clustering
clusterONE 0.394 s=1
d=0.5
Clustering
Affinity Propagation 0.373 dampfact=0.845
preference=0.9090676683577977
maxits=2000
convits=350
Clustering
Markov Clustering 0.394 I=1.2425425425425427 Clustering
Transitivity Clustering 0.395 T=0.9785184882206611 Clustering
MCODE 0.354 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering