Package elki.distance.minkowski

Class EuclideanDistance

java.lang.Object

elki.distance.minkowski.LPNormDistance

elki.distance.minkowski.LPIntegerNormDistance

elki.distance.minkowski.EuclideanDistance

All Implemented Interfaces:

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

@Priority(300)
@Alias({"euclidean","euclid","l2"})
public class EuclideanDistance
extends LPIntegerNormDistance

Euclidean distance for NumberVectors.

Euclidean distance is defined as: \[ \text{Euclidean}(\vec{x},\vec{y}) := \sqrt{\sum\nolimits_i (x_i-y_i)^2} \]

Since:

0.1

Author:

Arthur Zimek

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field	Description
static EuclideanDistance	STATIC	Static instance.

Fields inherited from class elki.distance.minkowski.LPIntegerNormDistance

intp

Fields inherited from class elki.distance.minkowski.LPNormDistance

invp, p

Constructor Summary

Constructors

Constructor	Description
EuclideanDistance()	Deprecated. Use static instance!

Method Summary

Modifier and Type	Method	Description
double	distance(NumberVector v1, NumberVector v2)	Computes the distance between two given DatabaseObjects according to this distance function.
boolean	equals(java.lang.Object obj)
int	hashCode()
boolean	isMetric()	Is this distance function metric (satisfy the triangle inequality)
double	maxDist(SpatialComparable mbr1, SpatialComparable mbr2)	Maximum distance of two objects.
double	minDist(SpatialComparable mbr1, SpatialComparable mbr2)	Computes the distance between the two given MBRs according to this distance function.
double	norm(NumberVector v)	Compute the norm of object obj.
private double	preDistance(NumberVector v1, NumberVector v2, int start, int end)
private double	preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end)
private double	preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end)
private double	preNorm(NumberVector v, int start, int end)
private double	preNormMBR(SpatialComparable mbr, int start, int end)
java.lang.String	toString()

Methods inherited from class elki.distance.minkowski.LPNormDistance

getInputTypeRestriction, getInvP, getP

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.distance.Distance

isSquared, isSymmetric

Methods inherited from interface elki.distance.SpatialPrimitiveDistance

instantiate

Field Detail

STATIC

public static final EuclideanDistance STATIC

Static instance. Use this!

Constructor Detail

EuclideanDistance

@Deprecated
public EuclideanDistance()

Deprecated.

Use static instance!

Constructor - use STATIC instead.

Method Detail

preDistance

private double preDistance(NumberVector v1,
                           NumberVector v2,
                           int start,
                           int end)

preDistanceVM

private double preDistanceVM(NumberVector v,
                             SpatialComparable mbr,
                             int start,
                             int end)

preDistanceMBR

private double preDistanceMBR(SpatialComparable mbr1,
                              SpatialComparable mbr2,
                              int start,
                              int end)

preNorm

private double preNorm(NumberVector v,
                       int start,
                       int end)

preNormMBR

private double preNormMBR(SpatialComparable mbr,
                          int start,
                          int end)

distance

public double distance(NumberVector v1,
                       NumberVector v2)

Description copied from interface: PrimitiveDistance

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

Specified by:

distance in interface NumberVectorDistance<NumberVector>

Specified by:

distance in interface PrimitiveDistance<NumberVector>

Overrides:

distance in class LPIntegerNormDistance

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

norm

public double norm(NumberVector v)

Description copied from interface: Norm

Compute the norm of object obj.

Specified by:

norm in interface Norm<NumberVector>

Overrides:

norm in class LPIntegerNormDistance

Parameters:

v - Object

Returns:

Norm

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 LPIntegerNormDistance

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

maxDist

public double maxDist(SpatialComparable mbr1,
                      SpatialComparable mbr2)

Maximum distance of two objects.

Parameters:

mbr1 - First object

mbr2 - Second object

isMetric

public boolean isMetric()

Description copied from interface: Distance

Is this distance function metric (satisfy the triangle inequality)

Specified by:

isMetric in interface Distance<NumberVector>

Overrides:

isMetric in class LPNormDistance

Returns:

true when metric.

toString

public java.lang.String toString()

Overrides:

toString in class LPNormDistance

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class LPIntegerNormDistance

hashCode

public int hashCode()

Overrides:

hashCode in class LPIntegerNormDistance