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

Class WeightedLPNormDistanceFunction

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.LPNormDistanceFunction

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

All Implemented Interfaces:

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

public class WeightedLPNormDistanceFunction
extends LPNormDistanceFunction

Weighted version of the Euclidean distance function.

Nested Class Summary

Nested classes/interfaces inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

LPNormDistanceFunction.Parameterizer

Field Summary

Fields

Modifier and Type	Field and Description
protected double[]	weights Weight array

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

P_ID

Constructor Summary

Constructors

Constructor and Description
WeightedLPNormDistanceFunction(double p, double[] weights) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleDistance(NumberVector<?> v1, NumberVector<?> v2) Returns the distance between the specified FeatureVectors as a LP-Norm for the currently set p.
double	doubleMinDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
boolean	equals(Object obj)

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

doubleNorm, getP, instantiate, isMetric, minDist, toString

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

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

weights

protected double[] weights

Weight array

Constructor Detail

WeightedLPNormDistanceFunction

public WeightedLPNormDistanceFunction(double p,
                              double[] weights)

Constructor.

Parameters:

p - p value

weights - Weight vector

Method Detail

doubleDistance

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

Description copied from class: LPNormDistanceFunction

Returns the distance between the specified FeatureVectors as a LP-Norm for the currently set p.

Specified by:

doubleDistance in interface PrimitiveDoubleDistanceFunction<NumberVector<?>>

Overrides:

doubleDistance in class LPNormDistanceFunction

Parameters:

v1 - first FeatureVector

v2 - second FeatureVector

Returns:

the distance between the specified FeatureVectors as a LP-Norm for the currently set p

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.

Specified by:

doubleMinDist in interface SpatialPrimitiveDoubleDistanceFunction<NumberVector<?>>

Overrides:

doubleMinDist in class LPNormDistanceFunction

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

equals

public boolean equals(Object obj)

Overrides:

equals in class LPNormDistanceFunction