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 1.938 k=2 Clustering
clusterdp 8.908 k=3
dc=0.930285212407645
Clustering
AGNES Infinity method=single
metric=euclidean
k=420
Clustering
c-Means Infinity k=23
m=2.25
Clustering
k-Medoids (PAM) 9.54 k=417 Clustering
DIANA Infinity metric=euclidean
k=419
Clustering
DBSCAN -Infinity eps=0.9090676683577977
MinPts=420
Clustering
Hierarchical Clustering Infinity method=average
k=420
Clustering
fanny Infinity k=159
membexp=5.0
Clustering
clusterONE -Infinity s=1
d=0.5
Clustering
Affinity Propagation Infinity dampfact=0.9175
preference=0.9772669170894496
maxits=5000
convits=425
Clustering
Markov Clustering -Infinity I=1.2425425425425427 Clustering
Transitivity Clustering Infinity T=1.0000000000000002 Clustering
MCODE 0.379 v=0.9
cutoff=0.9962111528482418
haircut=F
fluff=F
Clustering