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 2.117 k=4 Clustering
clusterdp 2.95 k=9
dc=10.776873844770527
Clustering
AGNES 5.739 method=weighted
metric=euclidean
k=42
Clustering
c-Means 2.117 k=2
m=2.25
Clustering
k-Medoids (PAM) 4.858 k=43 Clustering
DIANA 2.467 metric=euclidean
k=3
Clustering
DBSCAN 2.471 eps=21.553747689541055
MinPts=24
Clustering
Hierarchical Clustering 5.739 method=complete
k=41
Clustering
fanny 2.136 k=2
membexp=2.0
Clustering
clusterONE 2.14 s=16
d=0.0
Clustering
Affinity Propagation 1.777 dampfact=0.7725
preference=242.47966150733686
maxits=2000
convits=500
Clustering
Markov Clustering 2.769 I=1.1 Clustering
Transitivity Clustering 10.086 T=248.22409125942926 Clustering
MCODE 1.94 v=0.9
cutoff=26.94218461192632
haircut=F
fluff=T
Clustering