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 0.682 k=3 Clustering
clusterdp 0.605 k=12
dc=220.56273769760224
Clustering
AGNES 0.707 method=average
metric=euclidean
k=88
Clustering
c-Means 0.587 k=9
m=5.0
Clustering
k-Medoids (PAM) 0.509 k=6 Clustering
DIANA 0.469 metric=euclidean
k=92
Clustering
DBSCAN 0.407 eps=0.0
MinPts=254
Clustering
Hierarchical Clustering 0.705 method=complete
k=52
Clustering
fanny 0.413 k=46
membexp=2.0
Clustering
clusterONE 0.407 s=34
d=0.4
Clustering
Affinity Propagation 0.256 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.465 I=2.3561561561561564 Clustering
Transitivity Clustering 0.677 T=7.320716756203014 Clustering