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

All Implemented Interfaces:

DistanceFunction<NumberVector<?,?>,DoubleDistance>, PrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>, PrimitiveDoubleDistanceFunction<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

protected double[]

weights Weight array

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

P_ID

Constructor Summary

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

Method Summary

double	doubleDistance(NumberVector<?,?> v1, NumberVector<?,?> v2) Returns the distance between the specified FeatureVectors as a LP-Norm for the currently set p.
boolean	equals(Object obj)

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

getP, isMetric, toString

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

instantiate, 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.DistanceFunction

instantiate, 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

equals

public boolean equals(Object obj)

Overrides:

equals in class LPNormDistanceFunction