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

Class SparseEuclideanDistanceFunction

java.lang.Object

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

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

All Implemented Interfaces:

DistanceFunction<SparseNumberVector>, Norm<SparseNumberVector>, PrimitiveDistanceFunction<SparseNumberVector>

@Alias(value="de.lmu.ifi.dbs.elki.distance.distancefunction.SparseEuclideanDistanceFunction")
public class SparseEuclideanDistanceFunction
extends SparseLPNormDistanceFunction

Euclidean distance function, optimized for SparseNumberVectors.

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

For sparse vectors, we can skip those i where both vectors are 0.

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SparseEuclideanDistanceFunction.Parameterizer Parameterizer

Field Summary

Fields

Modifier and Type	Field and Description
static SparseEuclideanDistanceFunction	STATIC Static instance

Constructor Summary

Constructors

Constructor and Description
SparseEuclideanDistanceFunction() Deprecated. Use static instance instead.

Method Summary

Modifier and Type	Method and Description
double	distance(SparseNumberVector v1, SparseNumberVector v2) Computes the distance between two given DatabaseObjects according to this distance function.
double	norm(SparseNumberVector v1) Compute the norm of object obj.

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

getInputTypeRestriction, isMetric

Methods inherited from class java.lang.Object

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

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

instantiate

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

isSquared, isSymmetric

Field Detail

STATIC

public static final SparseEuclideanDistanceFunction STATIC

Static instance

Constructor Detail

SparseEuclideanDistanceFunction

@Deprecated
public SparseEuclideanDistanceFunction()

Deprecated. Use static instance instead.

Constructor - use STATIC instead.

Method Detail

distance

public double distance(SparseNumberVector v1,
                       SparseNumberVector v2)

Description copied from interface: PrimitiveDistanceFunction

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

Specified by:

distance in interface PrimitiveDistanceFunction<SparseNumberVector>

Overrides:

distance in class SparseLPNormDistanceFunction

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

norm

public double norm(SparseNumberVector v1)

Description copied from interface: Norm

Compute the norm of object obj.

Specified by:

norm in interface Norm<SparseNumberVector>

Overrides:

norm in class SparseLPNormDistanceFunction

Parameters:

v1 - Object

Returns:

Norm