Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_time » 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 0.0 k=511 Clustering
clusterdp 0.911 k=2
dc=0.9957308810600514		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=511		 Clustering
c-Means 0.0 k=11
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=506 Clustering
DIANA 0.0 metric=euclidean
k=509		 Clustering
DBSCAN 1.0 eps=0.9957308810600514
MinPts=290		 Clustering
Hierarchical Clustering 0.0 method=single
k=511		 Clustering
fanny 0.0 k=43
membexp=1.1		 Clustering
clusterONE 1.0 s=341
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.0000000000000002
maxits=2750
convits=275		 Clustering
Markov Clustering 1.0 I=4.806106106106106 Clustering
Transitivity Clustering 0.0 T=0.9997435964600633 Clustering
MCODE 0.284 v=0.2
cutoff=0.9946636013250642
haircut=F
fluff=T		 Clustering