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 0.407 k=101 Clustering
clusterdp 0.067 k=949
dc=0.43333333333333335
Clustering
AGNES 0.076 method=average
metric=euclidean
k=957
Clustering
c-Means 0.024 k=719
m=2.25
Clustering
k-Medoids (PAM) 0.695 k=130 Clustering
DIANA 0.33 metric=euclidean
k=978
Clustering
DBSCAN 0.836 eps=0.13333333333333333
MinPts=729
Clustering
Hierarchical Clustering 0.811 method=average
k=153
Clustering
fanny 0.824 k=528
membexp=1.1
Clustering
clusterONE 0.794 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.028 dampfact=0.7
preference=0.25
maxits=4250
convits=200
Clustering
Markov Clustering 0.705 I=3.5855855855855854 Clustering
Transitivity Clustering 0.808 T=0.5425425425425425 Clustering