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

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.ManhattanDistanceFunction

All Implemented Interfaces:

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

public class ManhattanDistanceFunction
extends LPNormDistanceFunction
implements SpatialPrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.

Nested Class Summary

static class

ManhattanDistanceFunction.Parameterizer Parameterization class.

Field Summary

static ManhattanDistanceFunction

STATIC The static instance to use.

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

P_ID

Constructor Summary

ManhattanDistanceFunction()
Deprecated. Use static instance!

Method Summary

DoubleDistance	centerDistance(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
double	doubleCenterDistance(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
double	doubleDistance(NumberVector<?,?> v1, NumberVector<?,?> v2) Compute the Manhattan distance
double	doubleMinDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
protected double	doubleMinDistObject(SpatialComparable mbr, NumberVector<?,?> v)
boolean	equals(Object obj)
<T extends NumberVector<?,?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance>	instantiate(Relation<T> relation) Instantiate with a database to get the actual distance query.
boolean	isMetric() Is this distance function metric (in particular, does it satisfy the triangle equation?)
DoubleDistance	minDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
String	toString()

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

getP

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

STATIC

public static final ManhattanDistanceFunction STATIC

The static instance to use.

Constructor Detail

ManhattanDistanceFunction

@Deprecated
public ManhattanDistanceFunction()

Deprecated. Use static instance!

Provides a Manhattan distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.

Method Detail

doubleDistance

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

Compute the Manhattan distance

Specified by:

doubleDistance in interface PrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Overrides:

doubleDistance in class LPNormDistanceFunction

Parameters:

v1 - first vector

v2 - second vector

Returns:

Manhattan distance value

doubleMinDistObject

protected double doubleMinDistObject(SpatialComparable mbr,
                                     NumberVector<?,?> v)

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<?,?>>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

doubleCenterDistance

public double doubleCenterDistance(SpatialComparable mbr1,
                                   SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDoubleDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

Specified by:

doubleCenterDistance in interface SpatialPrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

minDist

public DoubleDistance minDist(SpatialComparable mbr1,
                              SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDistanceFunction

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

Specified by:

minDist in interface SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

centerDistance

public DoubleDistance centerDistance(SpatialComparable mbr1,
                                     SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

Specified by:

centerDistance in interface SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

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

isMetric

public boolean isMetric()

Description copied from interface: DistanceFunction

Is this distance function metric (in particular, does it satisfy the triangle equation?)

Specified by:

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

Overrides:

isMetric in class LPNormDistanceFunction

Returns:

true when metric.

instantiate

public <T extends NumberVector<?,?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance> instantiate(Relation<T> relation)

Description copied from class: AbstractPrimitiveDistanceFunction

Instantiate with a database to get the actual distance query.

Specified by:

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

Specified by:

instantiate in interface SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Overrides:

instantiate in class AbstractPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Parameters:

relation - Representation

Returns:

Actual distance query.

toString

public String toString()

Overrides:

toString in class LPNormDistanceFunction

equals

public boolean equals(Object obj)

Overrides:

equals in class LPNormDistanceFunction