gov.sandia.cognition.learning.function.distance

Class EuclideanDistanceMetric

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.distance.EuclideanDistanceMetric

All Implemented Interfaces:

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

public class EuclideanDistanceMetric
extends AbstractCloneableSerializable
implements Metric<Vectorizable>

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

Since:

1.0

Author:

Justin Basilico

See Also:

Serialized Form

Field Summary

Fields

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
double	evaluate(Vectorizable first, Vectorizable second) Evaluates the 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 EuclideanDistanceMetric INSTANCE

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

Constructor Detail

EuclideanDistanceMetric

public EuclideanDistanceMetric()

Creates a new instance of EuclideanDistanceMetric.

Method Detail

evaluate

public double evaluate(Vectorizable first,
                       Vectorizable second)

Evaluates the 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 Euclidean distance between the two given vectors.