Uses of Interface
weka.clusterers.DensityBasedClusterer
Packages that use DensityBasedClusterer
-
Uses of DensityBasedClusterer in weka.clusterers
Classes in weka.clusterers that implement DensityBasedClustererModifier and TypeClassDescriptionclass
Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster (ie.class
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
Class for wrapping a Clusterer to make it return a distribution and density.class
Abstract utility class for handling settings common to randomizable clusterers.Methods in weka.clusterers that return DensityBasedClustererModifier and TypeMethodDescriptionstatic DensityBasedClusterer[]
AbstractDensityBasedClusterer.makeCopies
(DensityBasedClusterer model, int num) Creates copies of the current clusterer.Methods in weka.clusterers with parameters of type DensityBasedClustererModifier and TypeMethodDescriptionstatic 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 DensityBasedClustererModifier and TypeMethodDescriptionDensityBasedClustererSplitEvaluator.getClusterer()
Get the value of clustererMethods in weka.experiment with parameters of type DensityBasedClustererModifier and TypeMethodDescriptionvoid
DensityBasedClustererSplitEvaluator.setClusterer
(DensityBasedClusterer newClusterer) Sets the clusterer. -
Uses of DensityBasedClusterer in weka.filters.unsupervised.attribute
Methods in weka.filters.unsupervised.attribute that return DensityBasedClustererModifier and TypeMethodDescriptionClusterMembership.getDensityBasedClusterer()
Get the clusterer used by this filterMethods in weka.filters.unsupervised.attribute with parameters of type DensityBasedClustererModifier and TypeMethodDescriptionvoid
ClusterMembership.setDensityBasedClusterer
(DensityBasedClusterer newClusterer) Set the clusterer for use in filtering