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 0.918 k=7 Clustering
clusterdp 0.985 k=23
dc=11.608565141979065
Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=1
Clustering
c-Means 0.992 k=28
m=1.5
Clustering
k-Medoids (PAM) 0.6 k=5 Clustering
DIANA 1.0 metric=euclidean
k=1
Clustering
DBSCAN 1.0 eps=0.0
MinPts=254
Clustering
Hierarchical Clustering 0.996 method=complete
k=2
Clustering
fanny 1.0 k=12
membexp=1.1
Clustering
clusterONE 1.0 s=34
d=0.4
Clustering
Affinity Propagation 0.07 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 1.0 I=1.117817817817818 Clustering
Transitivity Clustering 0.996 T=4.1832667178302945 Clustering