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=2
dc=0.9759128172193446
Clustering
AGNES 0.0 method=single
metric=euclidean
k=187
Clustering
c-Means 0.0 k=112
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=181 Clustering
DIANA 0.0 metric=euclidean
k=188
Clustering
DBSCAN 1.0 eps=0.9237239211945912
MinPts=145
Clustering
Hierarchical Clustering 0.0 method=average
k=179
Clustering
fanny 0.0 k=49
membexp=5.0
Clustering
clusterONE 1.0 s=32
d=0.1
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.0000000000000002
maxits=3500
convits=275
Clustering
Markov Clustering 1.0 I=3.30940940940941 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering