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prapi::SquaredEuclidean< T > Class Template Reference

#include <ProximityMeasure.h>

Inheritance diagram for prapi::SquaredEuclidean< T >:

List of all members.

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Detailed Description

template<class T>
class prapi::SquaredEuclidean< T >

Squared Euclidean distance as a proximity measure.

Public Methods
double	getProximity (const util::List< T > &sample, const util::List< T > &model, double stopAfter=MAXDOUBLE) const throw (ProximityException&)
	Proximity between two lists.

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Member Function Documentation

template<class T> double prapi::SquaredEuclidean< T >::getProximity (  const util::List< T > &    sample, const util::List< T > &    model, double    stopAfter = MAXDOUBLE )  const throw (ProximityException&) [virtual]

Proximity between two lists. Parameters: sample  the list to be classified model  the model stopAfter  A value that can be used in optimizing the performance of a proximity measure. Classifiers may set this value to inform the proximity measure to stop if it notices the proximity will be over a certain value. For example, the kNN classifier sets this value to the kth smallest proximity so far. If a sample is not closer than that, then it makes no sense to inspect it any more. Implements prapi::ProximityMeasure< T >.

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The documentation for this class was generated from the following file:

• ProximityMeasure.h

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Documentation generated on 11.09.2003 with Doxygen.
The documentation is copyrighted material.
Copyright © Topi Mäenpää 2003. All rights reserved.