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=71
dc=42.212662933333334
Clustering
AGNES 0.0 method=average
metric=euclidean
k=665
Clustering
c-Means 0.0 k=329
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=786 Clustering
DIANA 0.0 metric=euclidean
k=688
Clustering
DBSCAN 0.0 eps=8.7336544
MinPts=733
Clustering
Hierarchical Clustering 0.0 method=average
k=521
Clustering
fanny 0.0 k=131
membexp=5.0
Clustering
clusterONE 1.0 s=664
d=0.4666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=43.668272
maxits=3500
convits=350
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=19.145848984984983 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering