Package weka.core
Class AbstractStringDistanceFunction
- java.lang.Object
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- weka.core.NormalizableDistance
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- weka.core.AbstractStringDistanceFunction
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- All Implemented Interfaces:
java.io.Serializable
,DistanceFunction
,OptionHandler
,RevisionHandler
- Direct Known Subclasses:
EditDistance
public abstract class AbstractStringDistanceFunction extends NormalizableDistance
Represents the abstract ancestor for string-based distance functions, like EditDistance.- Version:
- $Revision: 1.1 $
- Author:
- Bruno Woltzenlogel Paleo
- 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 AbstractStringDistanceFunction()
Constructor that doesn't set the dataAbstractStringDistanceFunction(Instances data)
Constructor that sets the data
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
distance(Instance first, Instance second, double cutOffValue, PerformanceStats stats)
Calculates the distance between two instances.-
Methods inherited from class weka.core.NormalizableDistance
attributeIndicesTipText, clean, distance, distance, distance, dontNormalizeTipText, getAttributeIndices, getDontNormalize, getInstances, getInvertSelection, getOptions, getRanges, globalInfo, initializeRanges, initializeRanges, initializeRanges, initializeRangesEmpty, inRanges, invertSelectionTipText, listOptions, postProcessDistances, rangesSet, setAttributeIndices, setDontNormalize, setInstances, setInvertSelection, setOptions, toString, update, updateRanges, updateRanges, updateRanges, updateRangesFirst
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Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface weka.core.RevisionHandler
getRevision
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Constructor Detail
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AbstractStringDistanceFunction
public AbstractStringDistanceFunction()
Constructor that doesn't set the data
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AbstractStringDistanceFunction
public AbstractStringDistanceFunction(Instances data)
Constructor that sets the data- Parameters:
data
- the set of instances that will be used for later distance comparisons
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Method Detail
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distance
public double distance(Instance first, Instance second, double cutOffValue, PerformanceStats stats)
Calculates the distance between two instances. Offers speed up (if the distance function class in use supports it) in nearest neighbour search by taking into account the cutOff or maximum distance. Depending on the distance function class, post processing of the distances by postProcessDistances(double []) may be required if this function is used.- Specified by:
distance
in interfaceDistanceFunction
- Overrides:
distance
in classNormalizableDistance
- Parameters:
first
- the first instancesecond
- the second instancecutOffValue
- If the distance being calculated becomes larger than cutOffValue then the rest of the calculation is discarded.stats
- the performance stats object- Returns:
- the distance between the two given instances or Double.POSITIVE_INFINITY if the distance being calculated becomes larger than cutOffValue.
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