es.uam.eps.ir.ranksys.novdiv.distance

Class CosineFeatureItemDistanceModel<I,F>

java.lang.Object

es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel<I,F,Double>

es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel<I,F>

es.uam.eps.ir.ranksys.novdiv.distance.CosineFeatureItemDistanceModel<I,F>

Type Parameters:

I - type of the items

F - type of the features

All Implemented Interfaces:

ItemDistanceModel<I>

public class CosineFeatureItemDistanceModel<I,F>
extends VectorFeatureItemDistanceModel<I,F>

Vector cosine item distance model.

Author:

Saúl Vargas (saul.vargas@uam.es)

Constructor Summary

Constructors

Constructor and Description
CosineFeatureItemDistanceModel(FeatureData<I,F,Double> featureData) Constructor.

Method Summary

Modifier and Type	Method and Description
protected double	dist(double prod, double norm2A, double norm2B) Distance as a function of the inner product between feature vectors and the square of the norms of these vectors.

Methods inherited from class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel

dist

Methods inherited from class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel

dist

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface es.uam.eps.ir.ranksys.novdiv.distance.ItemDistanceModel

dist

Constructor Detail

CosineFeatureItemDistanceModel

public CosineFeatureItemDistanceModel(FeatureData<I,F,Double> featureData)

Constructor.

Parameters:

featureData - feature data

Method Detail

dist

protected double dist(double prod,
                      double norm2A,
                      double norm2B)

Description copied from class: VectorFeatureItemDistanceModel

Distance as a function of the inner product between feature vectors and the square of the norms of these vectors.

Specified by:

dist in class VectorFeatureItemDistanceModel<I,F>

Parameters:

prod - inner product of two vectors

norm2A - square norm of the first vector

norm2B - square norm of the second vector

Returns:

distance value