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 0.0 k=419 Clustering
clusterdp 0.876 k=24
dc=0.9757513782287462
Clustering
AGNES 0.0 method=single
metric=euclidean
k=420
Clustering
c-Means 0.0 k=94
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=419 Clustering
DIANA 0.0 metric=euclidean
k=419
Clustering
DBSCAN 1.0 eps=0.9393784455718652
MinPts=154
Clustering
Hierarchical Clustering 0.0 method=single
k=420
Clustering
fanny 0.0 k=163
membexp=5.0
Clustering
clusterONE 1.0 s=14
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=275
Clustering
Markov Clustering 1.0 I=5.135735735735736 Clustering
Transitivity Clustering 0.0 T=1.0000000000000002 Clustering
MCODE 0.266 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering