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 0.517 k=3 Clustering
clusterdp 0.433 k=12
dc=220.56273769760224
Clustering
AGNES 0.505 method=weighted
metric=euclidean
k=81
Clustering
c-Means 0.395 k=9
m=5.0
Clustering
k-Medoids (PAM) 0.341 k=6 Clustering
DIANA 0.247 metric=euclidean
k=84
Clustering
DBSCAN 0.166 eps=0.0
MinPts=254
Clustering
Hierarchical Clustering 0.508 method=complete
k=44
Clustering
fanny 0.203 k=20
membexp=1.1
Clustering
clusterONE 0.166 s=17
d=0.1
Clustering
Affinity Propagation 0.069 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.295 I=3.4341341341341343 Clustering
Transitivity Clustering 0.5 T=0.6972111196383823 Clustering