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

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.AbstractSpatialDoubleDistanceNorm

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

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

All Implemented Interfaces:

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

Direct Known Subclasses:

WeightedEuclideanDistanceFunction, WeightedManhattanDistanceFunction, WeightedMaximumDistanceFunction

public class WeightedLPNormDistanceFunction
extends LPNormDistanceFunction

Weighted version of the Minkowski L_p metrics distance function.

Nested Class Summary

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

invp, p, 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) Computes the distance between two given Objects according to this distance function.
double	doubleMinDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
double	doubleNorm(NumberVector<?> v) Compute the norm of object obj as double value.
private double	doublePreDistance(NumberVector<?> v1, NumberVector<?> v2, int start, int end, double agg)
private double	doublePreDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	doublePreDistanceVM(NumberVector<?> v, SpatialComparable mbr, int start, int end, double agg)
private double	doublePreNorm(NumberVector<?> v, int start, int end, double agg)
private double	doublePreNormMBR(SpatialComparable mbr, int start, int end, double agg)
boolean	equals(Object obj)
SimpleTypeInformation<? super NumberVector<?>>	getInputTypeRestriction() Get the input data type of the function.

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

getP, isMetric, toString

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

instantiate, minDist

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

dimensionality, dimensionality, dimensionality, dimensionality, distance, getDistanceFactory

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

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

doublePreDistance

private final double doublePreDistance(NumberVector<?> v1,
                       NumberVector<?> v2,
                       int start,
                       int end,
                       double agg)

doublePreDistanceVM

private final double doublePreDistanceVM(NumberVector<?> v,
                         SpatialComparable mbr,
                         int start,
                         int end,
                         double agg)

doublePreDistanceMBR

private final double doublePreDistanceMBR(SpatialComparable mbr1,
                          SpatialComparable mbr2,
                          int start,
                          int end,
                          double agg)

doublePreNorm

private final double doublePreNorm(NumberVector<?> v,
                   int start,
                   int end,
                   double agg)

doublePreNormMBR

private final double doublePreNormMBR(SpatialComparable mbr,
                      int start,
                      int end,
                      double agg)

doubleDistance

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

Description copied from interface: PrimitiveDoubleDistanceFunction

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

Specified by:

doubleDistance in interface PrimitiveDoubleDistanceFunction<NumberVector<?>>

Overrides:

doubleDistance in class LPNormDistanceFunction

Parameters:

v1 - first Object

v2 - second Object

Returns:

the distance between two given Objects according to this distance function

doubleNorm

public double doubleNorm(NumberVector<?> v)

Description copied from interface: DoubleNorm

Compute the norm of object obj as double value.

Specified by:

doubleNorm in interface DoubleNorm<NumberVector<?>>

Overrides:

doubleNorm in class LPNormDistanceFunction

Parameters:

v - Object

Returns:

Double

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

getInputTypeRestriction

public SimpleTypeInformation<? super NumberVector<?>> getInputTypeRestriction()

Description copied from interface: DistanceFunction

Get the input data type of the function.

Specified by:

getInputTypeRestriction in interface DistanceFunction<NumberVector<?>,DoubleDistance>

Specified by:

getInputTypeRestriction in interface PrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>

Overrides:

getInputTypeRestriction in class LPNormDistanceFunction

Returns:

Type restriction