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 0.844 k=644 Clustering
clusterdp 0.0 k=769
dc=33.479008533333335
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=793
Clustering
c-Means 0.0 k=1027
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=653 Clustering
DIANA 0.0 metric=euclidean
k=922
Clustering
DBSCAN 0.0 eps=37.84583573333334
MinPts=838
Clustering
Hierarchical Clustering 0.0 method=average
k=1029
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=454
d=1.0
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=32.751204
maxits=5000
convits=500
Clustering
Markov Clustering 0.198 I=9.884184184184184 Clustering
Transitivity Clustering 0.0 T=21.987127943943943 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering