Package elki.distance.subspace

Class SubspaceEuclideanDistance

java.lang.Object

elki.distance.subspace.AbstractDimensionsSelectingDistance<NumberVector>

elki.distance.subspace.SubspaceLPNormDistance

elki.distance.subspace.SubspaceEuclideanDistance

All Implemented Interfaces:

Distance<NumberVector>, Norm<NumberVector>, NumberVectorDistance<NumberVector>, PrimitiveDistance<NumberVector>, SpatialPrimitiveDistance<NumberVector>, DimensionSelectingSubspaceDistance<NumberVector>

public class SubspaceEuclideanDistance
extends SubspaceLPNormDistance

Euclidean distance function between NumberVectors only in specified dimensions.

Since:

0.1

Author:

Elke Achtert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SubspaceEuclideanDistance.Par	Parameterization class.

Field Summary

Fields inherited from class elki.distance.subspace.AbstractDimensionsSelectingDistance

dimensions

Constructor Summary

Constructors

Constructor	Description
SubspaceEuclideanDistance(long[] dimensions)	Constructor.

Method Summary

Modifier and Type	Method	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 elki.distance.subspace.SubspaceLPNormDistance

getInputTypeRestriction, getP, instantiate, isMetric

Methods inherited from class elki.distance.subspace.AbstractDimensionsSelectingDistance

getSelectedDimensions, setSelectedDimensions

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.distance.Distance

isSquared, isSymmetric

Constructor Detail

SubspaceEuclideanDistance

public SubspaceEuclideanDistance(long[] dimensions)

Constructor.

Parameters:

dimensions - Selected dimensions

Method Detail

distance

public double distance(NumberVector v1,
                       NumberVector v2)

Constructor.

Specified by:

distance in interface NumberVectorDistance<NumberVector>

Specified by:

distance in interface PrimitiveDistance<NumberVector>

Overrides:

distance in class SubspaceLPNormDistance

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 SubspaceLPNormDistance

minDist

public double minDist(SpatialComparable mbr1,
                      SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDistance

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

Specified by:

minDist in interface SpatialPrimitiveDistance<NumberVector>

Overrides:

minDist in class SubspaceLPNormDistance

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 SubspaceLPNormDistance

Parameters:

obj - Object

Returns:

Norm

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class SubspaceLPNormDistance

hashCode

public int hashCode()

Overrides:

hashCode in class SubspaceLPNormDistance