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=630
dc=18.92291786666667
Clustering
AGNES 0.0 method=average
metric=euclidean
k=921
Clustering
c-Means 0.0 k=255
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=778 Clustering
DIANA 0.0 metric=euclidean
k=698
Clustering
DBSCAN 0.0 eps=2.9112181333333336
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=single
k=1010
Clustering
fanny 0.0 k=502
membexp=5.0
Clustering
clusterONE 1.0 s=105
d=0.0
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.83073073073073 Clustering
Transitivity Clustering 0.0 T=31.997172276276277 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=T
fluff=F
Clustering