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 0.317 k=4 Clustering
clusterdp 0.354 k=3
dc=0.9120987460792045
Clustering
AGNES 0.356 method=weighted
metric=euclidean
k=2
Clustering
c-Means 0.332 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.267 k=2 Clustering
DIANA 0.356 metric=euclidean
k=1
Clustering
DBSCAN 0.356 eps=0.9454406010146787
MinPts=238
Clustering
Hierarchical Clustering 0.356 method=average
k=2
Clustering
fanny 0.356 k=9
membexp=2.0
Clustering
clusterONE 0.356 s=350
d=0.36666666666666664
Clustering
Affinity Propagation 0.298 dampfact=0.9175
preference=0.9090676683577977
maxits=5000
convits=200
Clustering
Markov Clustering 0.356 I=5.144644644644645 Clustering
Transitivity Clustering 0.357 T=0.9568549297313276 Clustering
MCODE 0.285 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering