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=complete
metric=euclidean
k=420
Clustering
c-Means Infinity k=42
m=5.0
Clustering
k-Medoids (PAM) 9.54 k=417 Clustering
DIANA Infinity metric=euclidean
k=419
Clustering
DBSCAN -Infinity eps=0.9575649119003058
MinPts=392
Clustering
Hierarchical Clustering Infinity method=average
k=420
Clustering
fanny Infinity k=120
membexp=5.0
Clustering
clusterONE -Infinity s=112
d=0.16666666666666666
Clustering
Affinity Propagation Infinity dampfact=0.9175
preference=1.0000000000000002
maxits=2750
convits=200
Clustering
Markov Clustering -Infinity I=1.3583583583583583 Clustering
Transitivity Clustering Infinity T=1.0000000000000002 Clustering
MCODE 0.379 v=0.9
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering