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=8
dc=1.0000000000000002
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=103
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=105
Clustering
DBSCAN 1.0 eps=0.9744063297305156
MinPts=4
Clustering
Hierarchical Clustering 0.0 method=complete
k=105
Clustering
fanny 0.0 k=39
membexp=5.0
Clustering
clusterONE 1.0 s=14
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.0000000000000002
maxits=3500
convits=425
Clustering
Markov Clustering 1.0 I=9.91091091091091 Clustering
Transitivity Clustering 0.0 T=0.9996506460514678 Clustering