Java weka.clusterers XMeans fields, constructors, methods, implement or subclass

Example usage for Java weka.clusterers XMeans fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for weka.clusterers XMeans.

The text is from its open source code.

Constructor

	XMeans() the default constructor.

Method

void	buildClusterer(Instances data) Generates the X-Means clusterer.
int	clusterInstance(Instance instance) Classifies a given instance.
Instances	getClusterCenters() Return the centers of the clusters as an Instances object
void	setBinValue(double value) Sets the distance value between true and false of binary attributes.
void	setCutOffFactor(double i) Sets a new cutoff factor.
void	setDebugLevel(int d) Sets the debug level.
void	setDistanceF(DistanceFunction distanceF) gets the "binary" distance value.
void	setMaxIterations(int i) Sets the maximum number of iterations to perform.
void	setMaxKMeans(int i) Set the maximum number of iterations to perform in KMeans.
void	setMaxKMeansForChildren(int i) Sets the maximum number of iterations KMeans that is performed on the child centers.
void	setMaxNumClusters(int n) Sets the maximum number of clusters to generate.
void	setMinNumClusters(int n) Sets the minimum number of clusters to generate.
void	setUseKDTree(boolean value) Sets whether to use the KDTree or not.