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=190 Clustering
clusterdp 0.33 k=22
dc=1.0000000000000002
Clustering
AGNES 1.0 method=single
metric=euclidean
k=169
Clustering
c-Means 1.0 k=25
m=5.0
Clustering
k-Medoids (PAM) 1.0 k=180 Clustering
DIANA 1.0 metric=euclidean
k=190
Clustering
DBSCAN 0.0 eps=0.9277384516580337
MinPts=152
Clustering
Hierarchical Clustering 1.0 method=average
k=169
Clustering
fanny 1.0 k=41
membexp=5.0
Clustering
clusterONE 0.0 s=120
d=1.0
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=1.2425425425425427 Clustering
Transitivity Clustering 1.0 T=0.999758887059253 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering