weka.core
Class ManhattanDistance

java.lang.Object
  extended by weka.core.NormalizableDistance
      extended by weka.core.ManhattanDistance
All Implemented Interfaces:
java.io.Serializable, DistanceFunction, OptionHandler, TechnicalInformationHandler

public class ManhattanDistance
extends NormalizableDistance
implements TechnicalInformationHandler

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.

Version:
$Revision: 1.1 $
Author:
Fracpete (fracpete at waikato dot ac dot nz)
See Also:
Serialized Form

Field Summary
 
Fields inherited from class weka.core.NormalizableDistance
R_MAX, R_MIN, R_WIDTH
 
Constructor Summary
ManhattanDistance()
          Constructs an Manhattan Distance object, Instances must be still set.
ManhattanDistance(Instances data)
          Constructs an Manhattan Distance object and automatically initializes the ranges.
 
Method Summary
 TechnicalInformation getTechnicalInformation()
          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.
 java.lang.String globalInfo()
          Returns a string describing this object.
 
Methods inherited from class weka.core.NormalizableDistance
attributeIndicesTipText, distance, distance, distance, distance, dontNormalizeTipText, getAttributeIndices, getDontNormalize, getInstances, getInvertSelection, getOptions, getRanges, initializeRanges, initializeRanges, initializeRanges, initializeRangesEmpty, inRanges, invertSelectionTipText, listOptions, postProcessDistances, rangesSet, setAttributeIndices, setDontNormalize, setInstances, setInvertSelection, setOptions, toString, update, updateRanges, updateRanges, updateRanges, updateRangesFirst
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

ManhattanDistance

public ManhattanDistance()
Constructs an Manhattan Distance object, Instances must be still set.


ManhattanDistance

public ManhattanDistance(Instances data)
Constructs an Manhattan Distance object and automatically initializes the ranges.

Parameters:
data - the instances the distance function should work on
Method Detail

globalInfo

public java.lang.String globalInfo()
Returns a string describing this object.

Specified by:
globalInfo in class NormalizableDistance
Returns:
a description of the evaluator suitable for displaying in the explorer/experimenter gui

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()
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.

Specified by:
getTechnicalInformation in interface TechnicalInformationHandler
Returns:
the technical information about this class