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=106
dc=36.39022666666666
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=691
Clustering
c-Means 0.0 k=932
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=575 Clustering
DIANA 0.0 metric=euclidean
k=601
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=complete
k=1048
Clustering
fanny 0.0 k=490
membexp=2.0
Clustering
clusterONE 1.0 s=978
d=0.8
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=32.751204
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.902002002002002 Clustering
Transitivity Clustering 0.0 T=15.430330346346349 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering