Uses of Interface
weka.clusterers.DensityBasedClusterer

Packages that use DensityBasedClusterer
weka.clusterers   
weka.experiment   
weka.filters.unsupervised.attribute   
 

Uses of DensityBasedClusterer in weka.clusterers
 

Classes in weka.clusterers that implement DensityBasedClusterer
 class AbstractDensityBasedClusterer
          Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster (ie.
 class EM
          Simple EM (expectation maximisation) class.

EM assigns a probability distribution to each instance which indicates the probability of it belonging to each of the clusters.
 class MakeDensityBasedClusterer
          Class for wrapping a Clusterer to make it return a distribution and density.
 class RandomizableDensityBasedClusterer
          Abstract utility class for handling settings common to randomizable clusterers.
 

Methods in weka.clusterers that return DensityBasedClusterer
static DensityBasedClusterer[] AbstractDensityBasedClusterer.makeCopies(DensityBasedClusterer model, int num)
          Creates copies of the current clusterer.
 

Methods in weka.clusterers with parameters of type DensityBasedClusterer
static double ClusterEvaluation.crossValidateModel(DensityBasedClusterer clusterer, Instances data, int numFolds, Random random)
          Perform a cross-validation for DensityBasedClusterer on a set of instances.
static DensityBasedClusterer[] AbstractDensityBasedClusterer.makeCopies(DensityBasedClusterer model, int num)
          Creates copies of the current clusterer.
 

Uses of DensityBasedClusterer in weka.experiment
 

Methods in weka.experiment that return DensityBasedClusterer
 DensityBasedClusterer DensityBasedClustererSplitEvaluator.getClusterer()
          Get the value of clusterer
 

Methods in weka.experiment with parameters of type DensityBasedClusterer
 void DensityBasedClustererSplitEvaluator.setClusterer(DensityBasedClusterer newClusterer)
          Sets the clusterer.
 

Uses of DensityBasedClusterer in weka.filters.unsupervised.attribute
 

Methods in weka.filters.unsupervised.attribute that return DensityBasedClusterer
 DensityBasedClusterer ClusterMembership.getDensityBasedClusterer()
          Get the clusterer used by this filter
 

Methods in weka.filters.unsupervised.attribute with parameters of type DensityBasedClusterer
 void ClusterMembership.setDensityBasedClusterer(DensityBasedClusterer newClusterer)
          Set the clusterer for use in filtering
 



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