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=19
dc=0.9424095232932719
Clustering
AGNES 0.398 method=ward
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=13
Clustering
DBSCAN 0.394 eps=0.9090676683577977
MinPts=140
Clustering
Hierarchical Clustering 0.398 method=average
k=10
Clustering
fanny 0.399 k=32
membexp=5.0
Clustering
clusterONE 0.394 s=252
d=0.36666666666666664
Clustering
Affinity Propagation 0.373 dampfact=0.9175
preference=0.9090676683577977
maxits=2750
convits=200
Clustering
Markov Clustering 0.394 I=4.342842842842843 Clustering
Transitivity Clustering 0.395 T=0.9783364415106668 Clustering
MCODE 0.354 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=F
Clustering