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 0.583 k=4 Clustering
clusterdp 0.629 k=10
dc=0.9839418781462299
Clustering
AGNES 0.629 method=average
metric=euclidean
k=7
Clustering
c-Means 0.491 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.466 k=5 Clustering
DIANA 0.625 metric=euclidean
k=2
Clustering
DBSCAN 0.625 eps=0.9076657993408208
MinPts=152
Clustering
Hierarchical Clustering 0.629 method=single
k=7
Clustering
fanny 0.625 k=5
membexp=5.0
Clustering
clusterONE 0.625 s=145
d=0.9666666666666667
Clustering
Affinity Propagation 0.406 dampfact=0.845
preference=0.8795640860967228
maxits=2750
convits=425
Clustering
Markov Clustering 0.625 I=8.672572572572573 Clustering
Transitivity Clustering 0.625 T=0.9172982613236756 Clustering
MCODE 0.609 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F
Clustering