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 0.0 k=507 Clustering
clusterdp 0.066 k=22
dc=174.128477129686
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=93
Clustering
c-Means 0.0 k=19
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=462 Clustering
DIANA 0.0 metric=euclidean
k=250
Clustering
DBSCAN 0.0 eps=208.9541725556232
MinPts=507
Clustering
Hierarchical Clustering 0.0 method=complete
k=193
Clustering
fanny 0.0 k=73
membexp=1.1
Clustering
clusterONE 0.843 s=1
d=0.7333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=174.128477129686
maxits=4250
convits=425
Clustering
Markov Clustering 0.036 I=10.0 Clustering
Transitivity Clustering 0.0 T=15.687250191863601 Clustering