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 0.497 k=5 Clustering
clusterdp 0.999 k=2
dc=0.7754917862387074
Clustering
AGNES 1.0 method=average
metric=euclidean
k=1
Clustering
c-Means 0.988 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.97 k=2 Clustering
DIANA 1.0 metric=euclidean
k=1
Clustering
DBSCAN 1.0 eps=0.3877048715601111
MinPts=49
Clustering
Hierarchical Clustering 1.0 method=single
k=3
Clustering
fanny 1.0 k=11
membexp=5.0
Clustering
clusterONE 1.0 s=30
d=0.8666666666666667
Clustering
Affinity Propagation 0.133 dampfact=0.7
preference=0.387704871560111
maxits=5000
convits=425
Clustering
Markov Clustering 1.0 I=1.3672672672672674 Clustering
Transitivity Clustering 1.0 T=0.39444685996135104 Clustering