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=23
dc=0.966658145064526
Clustering
AGNES 1.0 method=single
metric=euclidean
k=420
Clustering
c-Means 1.0 k=23
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=414 Clustering
DIANA 1.0 metric=euclidean
k=418
Clustering
DBSCAN 0.0 eps=0.9090676683577977
MinPts=420
Clustering
Hierarchical Clustering 1.0 method=complete
k=418
Clustering
fanny 1.0 k=159
membexp=5.0
Clustering
clusterONE 0.0 s=1
d=0.5
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=0.9772669170894496
maxits=5000
convits=425
Clustering
Markov Clustering 0.0 I=1.2425425425425427 Clustering
Transitivity Clustering 1.0 T=1.0000000000000002 Clustering
MCODE 0.734 v=0.8
cutoff=0.9962111528482418
haircut=F
fluff=F
Clustering