gov.sandia.cognition.learning.function.distance

Class ChebyshevDistanceMetric

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.distance.ChebyshevDistanceMetric

All Implemented Interfaces:

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

@PublicationReference(title="Chebyshev Distance",
                      author="Wikipedia",
                      year=2011,
                      type=WebPage,
                      url="http://en.wikipedia.org/wiki/Chebyshev_distance")
public class ChebyshevDistanceMetric
extends AbstractCloneableSerializable
implements Metric<Vectorizable>

An implementation of the Chebyshev distance, which is the absolute value of the largest difference between two vectors in a single dimension. As such, it is the infinity-norm of the difference between the two vectors.

Since:

3.3.3

Author:

Justin Basilico

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ChebyshevDistanceMetric() Creates a new ChebyshevDistanceMetric.

Method Summary

Modifier and Type	Method and Description
double	evaluate(Vectorizable first, Vectorizable second) Evaluates the divergence between the two given objects.

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

Constructor Detail

ChebyshevDistanceMetric

public ChebyshevDistanceMetric()

Creates a new ChebyshevDistanceMetric.

Method Detail

evaluate

public double evaluate(Vectorizable first,
                       Vectorizable second)

Description copied from interface: DivergenceFunction

Evaluates the divergence between the two given objects.

Specified by:

evaluate in interface DivergenceFunction<Vectorizable,Vectorizable>

Parameters:

first - The first object.

second - The second object.

Returns:

The divergence between the objects.