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 1.0 k=507 Clustering
clusterdp 0.934 k=2
dc=197.34560741364413
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=93
Clustering
c-Means 1.0 k=440
m=3.5
Clustering
k-Medoids (PAM) 1.0 k=156 Clustering
DIANA 1.0 metric=euclidean
k=274
Clustering
DBSCAN 1.0 eps=69.6513908518744
MinPts=439
Clustering
Hierarchical Clustering 1.0 method=single
k=100
Clustering
fanny 1.0 k=193
membexp=1.1
Clustering
clusterONE 0.157 s=1
d=0.06666666666666667
Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.0
maxits=5000
convits=500
Clustering
Markov Clustering 0.964 I=9.946546546546546 Clustering
Transitivity Clustering 1.0 T=55.4282840112514 Clustering