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 0.729 k=31 Clustering
clusterdp 0.321 k=22
dc=6.766666666666667		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=33		 Clustering
c-Means 0.0 k=33
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=32 Clustering
DIANA 0.0 metric=euclidean
k=31		 Clustering
DBSCAN 0.637 eps=5.833333333333333
MinPts=3		 Clustering
Hierarchical Clustering 0.0 method=single
k=32		 Clustering
fanny 0.475 k=6
membexp=5.0		 Clustering
clusterONE 0.837 s=4
d=0.7333333333333333		 Clustering
Affinity Propagation 0.27 dampfact=0.7
preference=7.0
maxits=5000
convits=350		 Clustering
Markov Clustering 0.708 I=4.1913913913913925 Clustering
Transitivity Clustering 0.0 T=6.985985985985986 Clustering