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 0.69 k=4 Clustering
clusterdp 0.971 k=23
dc=3.033333333333333
Clustering
AGNES 1.0 method=average
metric=euclidean
k=2
Clustering
c-Means 1.0 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.941 k=3 Clustering
DIANA 0.718 metric=euclidean
k=9
Clustering
DBSCAN 0.668 eps=0.23333333333333334
MinPts=7
Clustering
Hierarchical Clustering 1.0 method=average
k=2
Clustering
fanny 1.0 k=2
membexp=2.0
Clustering
clusterONE 0.848 s=6
d=0.23333333333333334
Clustering
Affinity Propagation 0.715 dampfact=0.99
preference=1.75
maxits=2000
convits=275
Clustering
Markov Clustering 1.0 I=1.5810810810810811 Clustering
Transitivity Clustering 1.0 T=0.08408408408408409 Clustering