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 0.817 k=83 Clustering
clusterdp 0.803 k=949
dc=0.23333333333333334
Clustering
AGNES 0.809 method=weighted
metric=euclidean
k=957
Clustering
c-Means 0.8 k=724
m=2.25
Clustering
k-Medoids (PAM) 0.952 k=130 Clustering
DIANA 0.82 metric=euclidean
k=978
Clustering
DBSCAN 0.968 eps=0.13333333333333333
MinPts=729
Clustering
Hierarchical Clustering 0.963 method=average
k=153
Clustering
fanny 0.968 k=528
membexp=1.1
Clustering
clusterONE 0.96 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.384 dampfact=0.7
preference=0.25
maxits=4250
convits=200
Clustering
Markov Clustering 0.951 I=4.52992992992993 Clustering
Transitivity Clustering 0.965 T=0.5425425425425425 Clustering