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=944
dc=16.011699733333334
Clustering
AGNES 0.0 method=average
metric=euclidean
k=588
Clustering
c-Means 0.0 k=244
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=476 Clustering
DIANA 0.0 metric=euclidean
k=605
Clustering
DBSCAN 0.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=complete
k=991
Clustering
fanny 0.0 k=408
membexp=2.0
Clustering
clusterONE 1.0 s=35
d=0.7333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.893093093093094 Clustering
Transitivity Clustering 0.0 T=10.578300124124125 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering