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 0.676 k=4 Clustering
clusterdp 0.696 k=25
dc=0.9718982867559022
Clustering
AGNES 0.698 method=complete
metric=euclidean
k=1
Clustering
c-Means 0.594 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.542 k=5 Clustering
DIANA 0.698 metric=euclidean
k=1
Clustering
DBSCAN 0.698 eps=0.8795640860967228
MinPts=51
Clustering
Hierarchical Clustering 0.696 method=complete
k=2
Clustering
fanny 0.698 k=3
membexp=5.0
Clustering
clusterONE 0.698 s=13
d=0.8333333333333334
Clustering
Affinity Propagation 0.506 dampfact=0.7725
preference=0.8795640860967228
maxits=2750
convits=425
Clustering
Markov Clustering 0.698 I=1.4741741741741743 Clustering
Transitivity Clustering 0.698 T=0.8812518766819539 Clustering
MCODE 0.685 v=0.0
cutoff=0.9648728584448776
haircut=T
fluff=F
Clustering