weka.core.ManhattanDistance Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of weka-dev Show documentation

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.

There is a newer version: 3.9.6

Show newest 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 .
 */

/*
 *    ManhattanDistance.java
 *    Copyright (C) 2007-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.core;

import weka.core.TechnicalInformation.Field;
import weka.core.TechnicalInformation.Type;

/**
 
 * Implements the Manhattan distance (or Taxicab geometry). The distance between two points is the sum of the (absolute) differences of their coordinates.

 * 

 * For more information, see:

 * 

 * Wikipedia. Taxicab geometry. URL http://en.wikipedia.org/wiki/Taxicab_geometry.
 * 
 
 *
 
 * BibTeX:
 * 
 * @misc{missing_id,
 *    author = {Wikipedia},
 *    title = {Taxicab geometry},
 *    URL = {http://en.wikipedia.org/wiki/Taxicab_geometry}
 * }
 * 
 * 
 
 *
 
 * Valid options are: 

 * 
 * 
 -D
 *  Turns off the normalization of attribute 
 *  values in distance calculation.
 * 
 *  -R <col1,col2-col4,...>
 *  Specifies list of columns to used in the calculation of the 
 *  distance. 'first' and 'last' are valid indices.
 *  (default: first-last)
 * 
 *  -V
 *  Invert matching sense of column indices.
 * 
  
 *
 * @author Fracpete (fracpete at waikato dot ac dot nz)
 * @version $Revision: 8034 $
 */
public class ManhattanDistance
  extends NormalizableDistance
  implements TechnicalInformationHandler {
  
  /** for serialization. */
  private static final long serialVersionUID = 6783782554224000243L;

  /**
   * Constructs an Manhattan Distance object, Instances must be still set.
   */
  public ManhattanDistance() {
    super();
  }

  /**
   * Constructs an Manhattan Distance object and automatically initializes the
   * ranges.
   * 
   * @param data 	the instances the distance function should work on
   */
  public ManhattanDistance(Instances data) {
    super(data);
  }

  /**
   * Returns a string describing this object.
   * 
   * @return 		a description of the evaluator suitable for
   * 			displaying in the explorer/experimenter gui
   */
  public String globalInfo() {
    return 
        "Implements the Manhattan distance (or Taxicab geometry). The distance "
      + "between two points is the sum of the (absolute) differences of their "
      + "coordinates.\n\n"
      + "For more information, see:\n\n"
      + getTechnicalInformation().toString();
  }

  /**
   * Returns an instance of a TechnicalInformation object, containing 
   * detailed information about the technical background of this class,
   * e.g., paper reference or book this class is based on.
   * 
   * @return 		the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation 	result;
    
    result = new TechnicalInformation(Type.MISC);
    result.setValue(Field.AUTHOR, "Wikipedia");
    result.setValue(Field.TITLE, "Taxicab geometry");
    result.setValue(Field.URL, "http://en.wikipedia.org/wiki/Taxicab_geometry");

    return result;
  }
  
  /**
   * Updates the current distance calculated so far with the new difference
   * between two attributes. The difference between the attributes was 
   * calculated with the difference(int,double,double) method.
   * 
   * @param currDist	the current distance calculated so far
   * @param diff	the difference between two new attributes
   * @return		the update distance
   * @see		#difference(int, double, double)
   */
  protected double updateDistance(double currDist, double diff) {
    double	result;
    
    result  = currDist;
    result += Math.abs(diff);
    
    return result;
  }
  
  /**
   * Returns the revision string.
   * 
   * @return		the revision
   */
  public String getRevision() {
    return RevisionUtils.extract("$Revision: 8034 $");
  }
}