Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » zachary » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.003 k=28 Clustering
clusterdp 0.0 k=17
dc=0.7		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=18		 Clustering
c-Means 0.0 k=17
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=12 Clustering
DIANA 0.0 metric=euclidean
k=13		 Clustering
DBSCAN 0.0 eps=0.7
MinPts=4		 Clustering
Hierarchical Clustering 0.0 method=single
k=6		 Clustering
fanny 0.0 k=26
membexp=2.0		 Clustering
clusterONE 0.0 s=3
d=0.5		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=7.47877877877878 Clustering
Transitivity Clustering 0.0 T=4.995995995995996 Clustering