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 0.535 k=83 Clustering
clusterdp 0.311 k=949
dc=0.7333333333333333
Clustering
AGNES 0.33 method=weighted
metric=euclidean
k=957
Clustering
c-Means 0.306 k=695
m=2.25
Clustering
k-Medoids (PAM) 0.822 k=130 Clustering
DIANA 0.334 metric=euclidean
k=978
Clustering
DBSCAN 0.89 eps=0.1
MinPts=766
Clustering
Hierarchical Clustering 0.88 method=single
k=150
Clustering
fanny 0.888 k=528
membexp=1.1
Clustering
clusterONE 0.87 s=1
d=0.1
Clustering
Affinity Propagation 0.17 dampfact=0.7725
preference=1.0
maxits=2000
convits=200
Clustering
Markov Clustering 0.821 I=3.870670670670671 Clustering
Transitivity Clustering 0.881 T=0.5425425425425425 Clustering