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 1.0 k=1046 Clustering
clusterdp 1.0 k=2
dc=2.9112181333333336
Clustering
AGNES 1.0 method=complete
metric=euclidean
k=537
Clustering
c-Means 1.0 k=255
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=351 Clustering
DIANA 1.0 metric=euclidean
k=605
Clustering
DBSCAN 1.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 1.0 method=average
k=279
Clustering
fanny 1.0 k=213
membexp=1.1
Clustering
clusterONE 0.0 s=1
d=0.8
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=21.834136
maxits=3500
convits=425
Clustering
Markov Clustering 0.999 I=9.884184184184184 Clustering
Transitivity Clustering 1.0 T=9.52921250850851 Clustering
MCODE 0.976 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering