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 0.0 k=1046 Clustering
clusterdp 0.0 k=560
dc=29.112181333333336
Clustering
AGNES 0.0 method=average
metric=euclidean
k=780
Clustering
c-Means 0.0 k=287
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=614 Clustering
DIANA 0.0 metric=euclidean
k=603
Clustering
DBSCAN 0.0 eps=23.28974506666667
MinPts=733
Clustering
Hierarchical Clustering 0.0 method=complete
k=307
Clustering
fanny 0.0 k=506
membexp=5.0
Clustering
clusterONE 1.0 s=210
d=0.43333333333333335
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=43.668272
maxits=2000
convits=425
Clustering
Markov Clustering 0.001 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=33.089971875875875 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering