gov.sandia.cognition.learning.function.distance

Class EuclideanDistanceSquaredMetric

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.distance.EuclideanDistanceSquaredMetric

All Implemented Interfaces:

DivergenceFunction<Vectorizable,Vectorizable>, Semimetric<Vectorizable>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

public class EuclideanDistanceSquaredMetric
extends AbstractCloneableSerializable
implements Semimetric<Vectorizable>

The EuclideanDistanceSquaredMetric implements a distance metric that computes the squared Euclidean distance between two points.

Since:

2.0

Author:

Justin Basilico

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static EuclideanDistanceSquaredMetric	INSTANCE An instance of EuclideanDistanceSquaredMetric to use since the class has no internal data.

Constructor Summary

Constructors

Constructor and Description
EuclideanDistanceSquaredMetric() Creates a new instance of EuclideanDistanceSquaredMetric.

Method Summary

Modifier and Type	Method and Description
double	evaluate(Vectorizable first, Vectorizable second) The evaluates the squared Euclidean distance between the two given vectors.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Field Detail

INSTANCE

public static final EuclideanDistanceSquaredMetric INSTANCE

An instance of EuclideanDistanceSquaredMetric to use since the class has no internal data.

Constructor Detail

EuclideanDistanceSquaredMetric

public EuclideanDistanceSquaredMetric()

Creates a new instance of EuclideanDistanceSquaredMetric.

Method Detail

evaluate

public double evaluate(Vectorizable first,
                       Vectorizable second)

The evaluates the squared Euclidean distance between the two given vectors.

Specified by:

evaluate in interface DivergenceFunction<Vectorizable,Vectorizable>

Parameters:

first - The first Vector.

second - The second Vector.

Returns:

The squared Euclidean distance between the two given vectors.