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=3
dc=197.34560741364413
Clustering
AGNES 0.0 method=single
metric=euclidean
k=154
Clustering
c-Means 0.0 k=18
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=469 Clustering
DIANA 0.0 metric=euclidean
k=188
Clustering
DBSCAN 0.0 eps=69.6513908518744
MinPts=439
Clustering
Hierarchical Clustering 0.0 method=average
k=259
Clustering
fanny 0.0 k=201
membexp=1.1
Clustering
clusterONE 0.843 s=1
d=0.13333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=261.192715694529
maxits=4250
convits=275
Clustering
Markov Clustering 0.036 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=233.2171195190389 Clustering