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

Class SubspaceEuclideanDistanceFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction<NumberVector>

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction

All Implemented Interfaces:

DistanceFunction<NumberVector>, Norm<NumberVector>, NumberVectorDistanceFunction<NumberVector>, PrimitiveDistanceFunction<NumberVector>, SpatialPrimitiveDistanceFunction<NumberVector>, DimensionSelectingSubspaceDistanceFunction<NumberVector>

@Alias(value="de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction")
public class SubspaceEuclideanDistanceFunction
extends SubspaceLPNormDistanceFunction

Euclidean distance function between NumberVectors only in specified dimensions.

Since:

0.1

Author:

Elke Achtert

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction

dimensions

Constructor Summary

Constructors

Constructor and Description
SubspaceEuclideanDistanceFunction(long[] dimensions) Constructor.

Method Summary

Modifier and Type	Method and Description
double	distance(NumberVector v1, NumberVector v2) Constructor.
boolean	equals(java.lang.Object obj)
int	hashCode()
double	minDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
protected double	minDistObject(SpatialComparable mbr, NumberVector v)
double	norm(NumberVector obj) Compute the norm of object obj.

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

getInputTypeRestriction, getP, instantiate, isMetric

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

getSelectedDimensions, setSelectedDimensions

Methods inherited from class java.lang.Object

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

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

isSquared, isSymmetric

Constructor Detail

SubspaceEuclideanDistanceFunction

public SubspaceEuclideanDistanceFunction(long[] dimensions)

Constructor.

Parameters:

dimensions - Selected dimensions

Method Detail

distance

public double distance(NumberVector v1,
                       NumberVector v2)

Constructor.

Specified by:

distance in interface NumberVectorDistanceFunction<NumberVector>

Specified by:

distance in interface PrimitiveDistanceFunction<NumberVector>

Overrides:

distance in class SubspaceLPNormDistanceFunction

Parameters:

v1 - first feature vector

v2 - second feature vector

Returns:

the Euclidean distance between two given feature vectors in the selected dimensions

minDistObject

protected double minDistObject(SpatialComparable mbr,
                               NumberVector v)

Overrides:

minDistObject in class SubspaceLPNormDistanceFunction

minDist

public double minDist(SpatialComparable mbr1,
                      SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDistanceFunction

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

Specified by:

minDist in interface SpatialPrimitiveDistanceFunction<NumberVector>

Overrides:

minDist in class SubspaceLPNormDistanceFunction

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

norm

public double norm(NumberVector obj)

Description copied from interface: Norm

Compute the norm of object obj.

Specified by:

norm in interface Norm<NumberVector>

Overrides:

norm in class SubspaceLPNormDistanceFunction

Parameters:

obj - Object

Returns:

Norm

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class SubspaceLPNormDistanceFunction

hashCode

public int hashCode()

Overrides:

hashCode in class SubspaceLPNormDistanceFunction