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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This version represents the developer version, the
"bleeding edge" of development, you could say. New functionality gets added
to this version.
/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/*
* BallSplitter.java
* Copyright (C) 2007-2012 University of Waikato
*/
package weka.core.neighboursearch.balltrees;
import java.io.Serializable;
import java.util.Enumeration;
import java.util.Vector;
import weka.core.EuclideanDistance;
import weka.core.Instances;
import weka.core.Option;
import weka.core.OptionHandler;
import weka.core.RevisionHandler;
import weka.core.RevisionUtils;
/**
* Abstract class for splitting a ball tree's BallNode.
*
* @author Ashraf M. Kibriya (amk14[at-the-rate]cs[dot]waikato[dot]ac[dot]nz)
* @version $Revision: 10203 $
*/
public abstract class BallSplitter implements Serializable, OptionHandler,
RevisionHandler {
/** ID to avoid warning */
private static final long serialVersionUID = -2233739562654159948L;
/** The instance on which the tree is built. */
protected Instances m_Instances;
/**
* The distance function (metric) from which the tree is (OR is to be) built.
*/
protected EuclideanDistance m_DistanceFunction;
/**
* The master index array that'll be reshuffled as nodes are split (and the
* tree is constructed).
*/
protected int[] m_Instlist;
/**
* default constructor.
*/
public BallSplitter() {
}
/**
* Creates a new instance of BallSplitter.
*
* @param instList The master index array.
* @param insts The instances on which the tree is (or is to be) built.
* @param e The Euclidean distance function to use for splitting.
*/
public BallSplitter(int[] instList, Instances insts, EuclideanDistance e) {
m_Instlist = instList;
m_Instances = insts;
m_DistanceFunction = e;
}
/**
* Checks whether if this ball splitter is correctly intialized or not (i.e.
* master index array, instances, and distance function is supplied or not)
*
* @throws Exception If the object is not correctly initialized.
*/
protected void correctlyInitialized() throws Exception {
if (m_Instances == null) {
throw new Exception("No instances supplied.");
} else if (m_Instlist == null) {
throw new Exception("No instance list supplied.");
} else if (m_DistanceFunction == null) {
throw new Exception("No Euclidean distance function supplied.");
} else if (m_Instances.numInstances() != m_Instlist.length) {
throw new Exception("The supplied instance list doesn't seem to match "
+ "the supplied instances");
}
}
/**
* Returns an enumeration describing the available options.
*
* @return an enumeration of all the available options.
*/
@Override
public Enumeration
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