Class BallSplitter
- java.lang.Object
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- weka.core.neighboursearch.balltrees.BallSplitter
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- All Implemented Interfaces:
Serializable,OptionHandler,RevisionHandler
- Direct Known Subclasses:
MedianDistanceFromArbitraryPoint,MedianOfWidestDimension,PointsClosestToFurthestChildren
public abstract class BallSplitter extends Object implements Serializable, OptionHandler, RevisionHandler
Abstract class for splitting a ball tree's BallNode.- Version:
- $Revision$
- Author:
- Ashraf M. Kibriya (amk14[at-the-rate]cs[dot]waikato[dot]ac[dot]nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description BallSplitter()default constructor.BallSplitter(int[] instList, Instances insts, EuclideanDistance e)Creates a new instance of BallSplitter.
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description String[]getOptions()Gets the current settings of the object.StringgetRevision()Returns the revision string.Enumeration<Option>listOptions()Returns an enumeration describing the available options.voidsetEuclideanDistanceFunction(EuclideanDistance func)Sets the distance function used to (or to be used to) build the tree.voidsetInstanceList(int[] instList)Sets the master index array containing indices of the training instances.voidsetInstances(Instances inst)Sets the training instances on which the tree is (or is to be) built.voidsetOptions(String[] options)Parses a given list of options.abstract voidsplitNode(BallNode node, int numNodesCreated)Splits a node into two.
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Constructor Detail
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BallSplitter
public BallSplitter()
default constructor.
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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.
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Method Detail
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listOptions
public Enumeration<Option> listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(String[] options) throws Exception
Parses a given list of options.- Specified by:
setOptionsin interfaceOptionHandler- Parameters:
options- the list of options as an array of strings- Throws:
Exception- if an option is not supported
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getOptions
public String[] getOptions()
Gets the current settings of the object.- Specified by:
getOptionsin interfaceOptionHandler- Returns:
- an array of strings suitable for passing to setOptions
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splitNode
public abstract void splitNode(BallNode node, int numNodesCreated) throws 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:
Exception- If there is some problem in splitting the given node.
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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.
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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.
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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.
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getRevision
public String getRevision()
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Returns:
- the revision
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