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=1094 Clustering
clusterdp 1.0 k=38
dc=0.3
Clustering
AGNES 1.0 method=single
metric=euclidean
k=1095
Clustering
c-Means 1.0 k=322
m=5.0
Clustering
k-Medoids (PAM) 1.0 k=1046 Clustering
DIANA 1.0 metric=euclidean
k=1068
Clustering
DBSCAN 0.997 eps=0.13333333333333333
MinPts=729
Clustering
Hierarchical Clustering 1.0 method=complete
k=1038
Clustering
fanny 1.0 k=41
membexp=2.0
Clustering
clusterONE 0.996 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.433 dampfact=0.7
preference=0.25
maxits=4250
convits=200
Clustering
Markov Clustering 0.993 I=3.5855855855855854 Clustering
Transitivity Clustering 1.0 T=1.0 Clustering