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=104 Clustering
clusterdp 0.548 k=24
dc=0.967426237838838
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=105
Clustering
c-Means 0.0 k=41
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=103 Clustering
DIANA 0.0 metric=euclidean
k=102
Clustering
DBSCAN 1.0 eps=0.9371791729749014
MinPts=87
Clustering
Hierarchical Clustering 0.0 method=average
k=105
Clustering
fanny 0.0 k=104
membexp=5.0
Clustering
clusterONE 1.0 s=1
d=0.9
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=350
Clustering
Markov Clustering 1.0 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=0.9996506460514678 Clustering