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=506 Clustering
clusterdp 0.066 k=22
dc=174.128477129686
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=155
Clustering
c-Means 0.0 k=27
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=454 Clustering
DIANA 0.0 metric=euclidean
k=495
Clustering
DBSCAN 0.0 eps=69.6513908518744
MinPts=439
Clustering
Hierarchical Clustering 0.0 method=complete
k=368
Clustering
fanny 0.0 k=507
membexp=1.1
Clustering
clusterONE 0.843 s=1
d=0.06666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=348.256954259372
maxits=4250
convits=275
Clustering
Markov Clustering 0.036 I=10.0 Clustering
Transitivity Clustering 0.0 T=217.8784748869945 Clustering