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 0.119 k=4 Clustering
clusterdp 0.13 k=15
dc=0.9211919792434247
Clustering
AGNES 0.13 method=single
metric=euclidean
k=15
Clustering
c-Means 0.126 k=2
m=2.25
Clustering
k-Medoids (PAM) 0.119 k=2 Clustering
DIANA 0.128 metric=euclidean
k=13
Clustering
DBSCAN 0.127 eps=0.9515027564574922
MinPts=14
Clustering
Hierarchical Clustering 0.13 method=single
k=15
Clustering
fanny 0.128 k=32
membexp=5.0
Clustering
clusterONE 0.127 s=126
d=0.26666666666666666
Clustering
Affinity Propagation 0.122 dampfact=0.9175
preference=0.9090676683577977
maxits=2750
convits=200
Clustering
Markov Clustering 0.127 I=6.231531531531533 Clustering
Transitivity Clustering 0.127 T=0.9513935284314956 Clustering
MCODE 0.12 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=F
Clustering