de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Class SquaredEuclideanDistanceFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceNorm

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialDoubleDistanceNorm

de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

All Implemented Interfaces:

DistanceFunction<NumberVector<?>,DoubleDistance>, DoubleNorm<NumberVector<?>>, Norm<NumberVector<?>,DoubleDistance>, NumberVectorDistanceFunction<DoubleDistance>, PrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>, PrimitiveDoubleDistanceFunction<NumberVector<?>>, SpatialPrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<NumberVector<?>>, Parameterizable

@Alias(value={"squaredeuclidean","de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction"})
public class SquaredEuclideanDistanceFunction
extends AbstractSpatialDoubleDistanceNorm

Provides the squared Euclidean distance for FeatureVectors. This results in the same rankings, but saves computing the square root as often.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SquaredEuclideanDistanceFunction.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
static SquaredEuclideanDistanceFunction	STATIC Static instance.

Constructor Summary

Constructors

Constructor and Description
SquaredEuclideanDistanceFunction() Deprecated. Use static instance!

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleDistance(NumberVector<?> v1, NumberVector<?> v2) Computes the distance between two given Objects according to this distance function.
double	doubleMinDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
protected double	doubleMinDistObject(NumberVector<?> v, SpatialComparable mbr)
double	doubleNorm(NumberVector<?> v) Compute the norm of object obj as double value.
boolean	equals(Object obj)
boolean	isMetric() Is this distance function metric (in particular, does it satisfy the triangle equation?)
String	toString()

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialDoubleDistanceNorm

instantiate, minDist

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceNorm

norm

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction

dimensionality, dimensionality, dimensionality, dimensionality, distance, getDistanceFactory, getInputTypeRestriction

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

isSymmetric

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction

distance, getInputTypeRestriction

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

getDistanceFactory, isSymmetric

Field Detail

STATIC

public static final SquaredEuclideanDistanceFunction STATIC

Static instance. Use this!

Constructor Detail

SquaredEuclideanDistanceFunction

@Deprecated
public SquaredEuclideanDistanceFunction()

Deprecated. Use static instance!

Provides a Euclidean distance function that can compute the Euclidean distance (that is a DoubleDistance) for FeatureVectors.

Method Detail

doubleDistance

public double doubleDistance(NumberVector<?> v1,
                    NumberVector<?> v2)

Description copied from interface: PrimitiveDoubleDistanceFunction

Computes the distance between two given Objects according to this distance function.

Parameters:

v1 - first Object

v2 - second Object

Returns:

the distance between two given Objects according to this distance function

doubleNorm

public double doubleNorm(NumberVector<?> v)

Description copied from interface: DoubleNorm

Compute the norm of object obj as double value.

Parameters:

v - Object

Returns:

Double

doubleMinDistObject

protected double doubleMinDistObject(NumberVector<?> v,
                         SpatialComparable mbr)

doubleMinDist

public double doubleMinDist(SpatialComparable mbr1,
                   SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDoubleDistanceFunction

Computes the distance between the two given MBRs according to this distance function.

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

the distance between the two given MBRs according to this distance function

isMetric

public boolean isMetric()

Description copied from interface: DistanceFunction

Is this distance function metric (in particular, does it satisfy the triangle equation?)

Specified by:

isMetric in interface DistanceFunction<NumberVector<?>,DoubleDistance>

Overrides:

isMetric in class AbstractPrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>

Returns:

true when metric.

toString

public String toString()

Overrides:

toString in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object