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=7 Clustering
clusterdp 0.867 k=907
dc=11.5698970004336
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=13
Clustering
c-Means 1.0 k=59
m=1.01
Clustering
k-Medoids (PAM) 0.988 k=2 Clustering
DIANA 1.0 metric=euclidean
k=1
Clustering
DBSCAN 1.0 eps=19.283161667389336
MinPts=942
Clustering
Hierarchical Clustering 0.998 method=average
k=8
Clustering
fanny 1.0 k=14
membexp=1.1
Clustering
clusterONE 0.359 s=1
d=0.9333333333333333
Clustering
Affinity Propagation 0.231 dampfact=0.7
preference=0.0
maxits=3500
convits=425
Clustering
Markov Clustering 1.0 I=1.2247247247247248 Clustering
Transitivity Clustering 0.985 T=4.28514703719763 Clustering
MCODE 1.0 v=0.8
cutoff=62.67027541901535
haircut=F
fluff=T
Clustering