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=34 Clustering
clusterdp 0.0 k=14
dc=3.5		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=23		 Clustering
c-Means 0.0 k=17
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=8 Clustering
DIANA 0.0 metric=euclidean
k=9		 Clustering
DBSCAN 0.0 eps=4.9
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=single
k=30		 Clustering
fanny 0.0 k=2
membexp=2.0		 Clustering
clusterONE 0.0 s=4
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=4.788288288288288 Clustering
Transitivity Clustering 0.0 T=0.11211211211211211 Clustering