Package weka.core
Class ManhattanDistance
- java.lang.Object
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- weka.core.NormalizableDistance
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- weka.core.ManhattanDistance
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- All Implemented Interfaces:
java.io.Serializable
,DistanceFunction
,OptionHandler
,RevisionHandler
,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: 1.2 $
- Author:
- Fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class weka.core.NormalizableDistance
R_MAX, R_MIN, R_WIDTH
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Constructor Summary
Constructors Constructor Description ManhattanDistance()
Constructs an Manhattan Distance object, Instances must be still set.ManhattanDistance(Instances data)
Constructs an Manhattan Distance object and automatically initializes the ranges.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.String
getRevision()
Returns the revision string.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, clean, 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
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Constructor Detail
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ManhattanDistance
public ManhattanDistance()
Constructs an Manhattan Distance object, Instances must be still set.
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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
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this object.- Specified by:
globalInfo
in classNormalizableDistance
- Returns:
- a description of the evaluator suitable for displaying in the explorer/experimenter gui
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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 interfaceTechnicalInformationHandler
- Returns:
- the technical information about this class
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Returns:
- the revision
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