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 0.47 k=14 Clustering
clusterdp 0.769 k=24
dc=150.8762338267874
Clustering
AGNES 0.812 method=average
metric=euclidean
k=43
Clustering
c-Means 0.562 k=14
m=1.5
Clustering
k-Medoids (PAM) 0.764 k=43 Clustering
DIANA 0.796 metric=euclidean
k=31
Clustering
DBSCAN 0.343 eps=204.76060305064001
MinPts=16
Clustering
Hierarchical Clustering 0.812 method=average
k=44
Clustering
fanny NaN k=2
membexp=2.0
Clustering
clusterONE 0.754 s=1
d=0.1
Clustering
Affinity Propagation 0.705 dampfact=0.7725
preference=0.0
maxits=2750
convits=425
Clustering
Markov Clustering 0.772 I=5.616816816816818 Clustering
Transitivity Clustering 0.812 T=170.22929856904796 Clustering
MCODE 0.75 v=0.1
cutoff=67.3554615298158
haircut=F
fluff=F
Clustering