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=0.9878756891143733
Clustering
AGNES 0.13 method=ward
metric=euclidean
k=15
Clustering
c-Means 0.126 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.119 k=2 Clustering
DIANA 0.128 metric=euclidean
k=124
Clustering
DBSCAN 0.127 eps=0.9393784455718652
MinPts=56
Clustering
Hierarchical Clustering 0.13 method=single
k=15
Clustering
fanny 0.128 k=32
membexp=5.0
Clustering
clusterONE 0.127 s=14
d=0.9333333333333333
Clustering
Affinity Propagation 0.122 dampfact=0.845
preference=0.9090676683577977
maxits=2000
convits=350
Clustering
Markov Clustering 0.127 I=5.144644644644645 Clustering
Transitivity Clustering 0.127 T=0.9568549297313276 Clustering
MCODE 0.12 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering