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 0.582 k=101 Clustering
clusterdp 0.156 k=949
dc=0.43333333333333335
Clustering
AGNES 0.201 method=single
metric=euclidean
k=950
Clustering
c-Means 0.141 k=2
m=3.5
Clustering
k-Medoids (PAM) 0.833 k=130 Clustering
DIANA 0.569 metric=euclidean
k=978
Clustering
DBSCAN 0.912 eps=0.13333333333333333
MinPts=729
Clustering
Hierarchical Clustering 0.899 method=average
k=153
Clustering
fanny 0.907 k=528
membexp=1.1
Clustering
clusterONE 0.889 s=1
d=0.4666666666666667
Clustering
Affinity Propagation 0.168 dampfact=0.7
preference=0.0
maxits=4250
convits=200
Clustering
Markov Clustering 0.839 I=4.129029029029029 Clustering
Transitivity Clustering 0.898 T=0.5425425425425425 Clustering