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=189 Clustering
clusterdp 0.67 k=25
dc=0.9197093907311485
Clustering
AGNES 0.0 method=average
metric=euclidean
k=171
Clustering
c-Means 0.0 k=33
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=184 Clustering
DIANA 0.0 metric=euclidean
k=181
Clustering
DBSCAN 1.0 eps=0.9598546953655744
MinPts=26
Clustering
Hierarchical Clustering 0.0 method=single
k=190
Clustering
fanny 0.0 k=189
membexp=2.0
Clustering
clusterONE 1.0 s=145
d=0.6
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.0000000000000002
maxits=3500
convits=275
Clustering
Markov Clustering 1.0 I=1.8750750750750753 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering