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 0.46 k=103 Clustering
clusterdp 0.336 k=1058
dc=0.6333333333333333
Clustering
AGNES 0.129 method=complete
metric=euclidean
k=1068
Clustering
c-Means 0.936 k=1072
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=1078 Clustering
DIANA 0.03 metric=euclidean
k=975
Clustering
DBSCAN 0.144 eps=0.5666666666666667
MinPts=729
Clustering
Hierarchical Clustering 0.0 method=complete
k=1077
Clustering
fanny 0.17 k=528
membexp=1.1
Clustering
clusterONE 0.192 s=1
d=0.03333333333333333
Clustering
Affinity Propagation 0.972 dampfact=0.7
preference=0.75
maxits=2000
convits=200
Clustering
Markov Clustering 0.291 I=4.155755755755756 Clustering
Transitivity Clustering 0.183 T=0.6206206206206206 Clustering