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 1.976 k=5 Clustering
clusterdp 2.313 k=2
dc=1.0
Clustering
AGNES Infinity method=weighted
metric=euclidean
k=289
Clustering
c-Means Infinity k=198
m=1.01
Clustering
k-Medoids (PAM) 2.365 k=2 Clustering
DIANA Infinity metric=euclidean
k=287
Clustering
DBSCAN Infinity eps=0.3877048715601111
MinPts=20
Clustering
Hierarchical Clustering Infinity method=average
k=293
Clustering
fanny Infinity k=124
membexp=5.0
Clustering
clusterONE -Infinity s=30
d=0.8666666666666667
Clustering
Affinity Propagation Infinity dampfact=0.9175
preference=0.8469262178900278
maxits=2750
convits=500
Clustering
Markov Clustering -Infinity I=1.3672672672672674 Clustering
Transitivity Clustering Infinity T=0.8320631980054759 Clustering