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

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.MaximumDistanceFunction

All Implemented Interfaces:

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

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

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

Nested Class Summary

static class

MaximumDistanceFunction.Parameterizer Parameterization class.

Field Summary

static MaximumDistanceFunction

STATIC Static instance.

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

P_ID

Constructor Summary

MaximumDistanceFunction()
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) 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)
<T extends NumberVector<?,?>> SpatialDistanceQuery<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 MaximumDistanceFunction STATIC

Static instance.

Constructor Detail

MaximumDistanceFunction

@Deprecated
public MaximumDistanceFunction()

Deprecated. Use static instance!

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

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<?,?>>

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<?,?>> SpatialDistanceQuery<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