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=193 Clustering
clusterdp 0.0 k=3
dc=269.4218461192632
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=192
Clustering
c-Means 0.0 k=15
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=221 Clustering
DIANA 0.0 metric=euclidean
k=226
Clustering
DBSCAN 0.0 eps=0.0
MinPts=1
Clustering
Hierarchical Clustering 0.0 method=complete
k=126
Clustering
fanny 0.0 k=231
membexp=5.0
Clustering
clusterONE 0.011 s=1
d=0.1
Clustering
Affinity Propagation 0.004 dampfact=0.9175
preference=80.82655383577895
maxits=5000
convits=500
Clustering
Markov Clustering 0.003 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=323.3062153431158 Clustering
MCODE 0.005 v=0.2
cutoff=40.413276917889476
haircut=F
fluff=T
Clustering