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=1046 Clustering
clusterdp 0.0 k=2
dc=2.9112181333333336
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=895
Clustering
c-Means 0.0 k=1038
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=462 Clustering
DIANA 0.0 metric=euclidean
k=605
Clustering
DBSCAN 0.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=single
k=789
Clustering
fanny 0.0 k=317
membexp=1.1
Clustering
clusterONE 1.0 s=175
d=0.6
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=43.668272
maxits=2750
convits=275
Clustering
Markov Clustering 0.001 I=9.83073073073073 Clustering
Transitivity Clustering 0.0 T=31.560052436436436 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=T
fluff=T
Clustering