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=1074 Clustering
clusterdp 0.008 k=985
dc=0.03333333333333333
Clustering
AGNES 0.052 method=average
metric=euclidean
k=983
Clustering
c-Means 0.012 k=13
m=5.0
Clustering
k-Medoids (PAM) 0.015 k=54 Clustering
DIANA 0.028 metric=euclidean
k=185
Clustering
DBSCAN 0.001 eps=0.2
MinPts=911
Clustering
Hierarchical Clustering 0.958 method=single
k=140
Clustering
fanny 0.945 k=528
membexp=1.1
Clustering
clusterONE 0.004 s=37
d=0.1
Clustering
Affinity Propagation 0.015 dampfact=0.99
preference=0.5
maxits=3500
convits=200
Clustering
Markov Clustering 0.016 I=2.0532532532532537 Clustering
Transitivity Clustering 0.016 T=0.3183183183183183 Clustering