weka.core.neighboursearch.balltrees

Class BallSplitter

java.lang.Object

weka.core.neighboursearch.balltrees.BallSplitter

All Implemented Interfaces:

java.io.Serializable, OptionHandler, RevisionHandler

Direct Known Subclasses:

MedianDistanceFromArbitraryPoint, MedianOfWidestDimension, PointsClosestToFurthestChildren

public abstract class BallSplitter
extends java.lang.Object
implements java.io.Serializable, OptionHandler, RevisionHandler

Abstract class for splitting a ball tree's BallNode.

Version:

$Revision: 10203 $

Author:

Ashraf M. Kibriya (amk14[at-the-rate]cs[dot]waikato[dot]ac[dot]nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BallSplitter() default constructor.
BallSplitter(int[] instList, Instances insts, EuclideanDistance e) Creates a new instance of BallSplitter.

Method Summary

Modifier and Type	Method and Description
java.lang.String[]	getOptions() Gets the current settings of the object.
java.lang.String	getRevision() Returns the revision string.
java.util.Enumeration<Option>	listOptions() Returns an enumeration describing the available options.
void	setEuclideanDistanceFunction(EuclideanDistance func) Sets the distance function used to (or to be used to) build the tree.
void	setInstanceList(int[] instList) Sets the master index array containing indices of the training instances.
void	setInstances(Instances inst) Sets the training instances on which the tree is (or is to be) built.
void	setOptions(java.lang.String[] options) Parses a given list of options.
abstract void	splitNode(BallNode node, int numNodesCreated) Splits a node into two.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

BallSplitter

public BallSplitter()

default constructor.

BallSplitter

public BallSplitter(int[] instList,
                    Instances insts,
                    EuclideanDistance e)

Creates a new instance of BallSplitter.

Parameters:

instList - The master index array.

insts - The instances on which the tree is (or is to be) built.

e - The Euclidean distance function to use for splitting.

Method Detail

listOptions

public java.util.Enumeration<Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

Specified by:

setOptions in interface OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the object.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions

splitNode

public abstract void splitNode(BallNode node,
                               int numNodesCreated)
                        throws java.lang.Exception

Splits a node into two.

Parameters:

node - The node to split.

numNodesCreated - The number of nodes that so far have been created for the tree, so that the newly created nodes are assigned correct/meaningful node numbers/ids.

Throws:

java.lang.Exception - If there is some problem in splitting the given node.

setInstances

public void setInstances(Instances inst)

Sets the training instances on which the tree is (or is to be) built.

Parameters:

inst - The training instances.

setInstanceList

public void setInstanceList(int[] instList)

Sets the master index array containing indices of the training instances. This array will be rearranged as the tree is built (or a node is split_), so that each node is assigned a portion in this array which contain the instances insides the node's region.

Parameters:

instList - The master index array.

setEuclideanDistanceFunction

public void setEuclideanDistanceFunction(EuclideanDistance func)

Sets the distance function used to (or to be used to) build the tree.

Parameters:

func - The distance function.

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Returns:

the revision