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 1.0 k=419 Clustering
clusterdp 0.124 k=24
dc=0.9333162901290517
Clustering
AGNES 1.0 method=ward
metric=euclidean
k=420
Clustering
c-Means 1.0 k=276
m=1.01
Clustering
k-Medoids (PAM) 1.0 k=414 Clustering
DIANA 1.0 metric=euclidean
k=418
Clustering
DBSCAN 0.0 eps=0.9696892227859327
MinPts=14
Clustering
Hierarchical Clustering 1.0 method=complete
k=417
Clustering
fanny 1.0 k=103
membexp=5.0
Clustering
clusterONE 0.0 s=84
d=0.43333333333333335
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=2750
convits=200
Clustering
Markov Clustering 0.0 I=1.3583583583583583 Clustering
Transitivity Clustering 1.0 T=1.0000000000000002 Clustering
MCODE 0.734 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=F
Clustering