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 0.598 k=83 Clustering
clusterdp 0.269 k=949
dc=0.4666666666666667
Clustering
AGNES 0.284 method=weighted
metric=euclidean
k=950
Clustering
c-Means 0.26 k=695
m=2.25
Clustering
k-Medoids (PAM) 0.891 k=130 Clustering
DIANA 0.271 metric=euclidean
k=978
Clustering
DBSCAN 0.914 eps=0.1
MinPts=766
Clustering
Hierarchical Clustering 0.916 method=single
k=150
Clustering
fanny 0.925 k=528
membexp=1.1
Clustering
clusterONE 0.912 s=1
d=0.1
Clustering
Affinity Propagation 0.254 dampfact=0.7725
preference=1.0
maxits=2000
convits=200
Clustering
Markov Clustering 0.888 I=3.870670670670671 Clustering
Transitivity Clustering 0.92 T=0.5425425425425425 Clustering