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

Class SparseLPNormDistanceFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>

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

All Implemented Interfaces:

DistanceFunction<SparseNumberVector<?,?>,DoubleDistance>, DoubleNorm<SparseNumberVector<?,?>>, Norm<SparseNumberVector<?,?>,DoubleDistance>, PrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>, PrimitiveDoubleDistanceFunction<SparseNumberVector<?,?>>, InspectionUtilFrequentlyScanned, Parameterizable

Direct Known Subclasses:

SparseEuclideanDistanceFunction, SparseManhattanDistanceFunction, SparseMaximumDistanceFunction

public class SparseLPNormDistanceFunction
extends AbstractPrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>
implements DoubleNorm<SparseNumberVector<?,?>>

Provides a LP-Norm for FeatureVectors.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SparseLPNormDistanceFunction.Parameterizer Parameterizer

Field Summary

Fields

Modifier and Type	Field and Description
private double	p Keeps the currently set p.

Constructor Summary

Constructors

Constructor and Description
SparseLPNormDistanceFunction(double p) Provides a LP-Norm for FeatureVectors.

Method Summary

Methods

Modifier and Type	Method and Description
DoubleDistance	distance(SparseNumberVector<?,?> v1, SparseNumberVector<?,?> v2) Computes the distance between two given DatabaseObjects according to this distance function.
double	doubleDistance(SparseNumberVector<?,?> v1, SparseNumberVector<?,?> v2) Computes the distance between two given Objects according to this distance function.
double	doubleNorm(SparseNumberVector<?,?> v1) Compute the norm of object obj as double value.
DoubleDistance	getDistanceFactory() Method to get the distance functions factory.
SimpleTypeInformation<? super SparseNumberVector<?,?>>	getInputTypeRestriction() Get the input data type of the function.
boolean	isMetric() Is this distance function metric (in particular, does it satisfy the triangle equation?)
DoubleDistance	norm(SparseNumberVector<?,?> obj) Compute the norm of object obj.

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

instantiate, isSymmetric

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

instantiate, isSymmetric

Field Detail

p

private double p

Keeps the currently set p.

Constructor Detail

SparseLPNormDistanceFunction

public SparseLPNormDistanceFunction(double p)

Provides a LP-Norm for FeatureVectors.

Method Detail

doubleDistance

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

Description copied from interface: PrimitiveDoubleDistanceFunction

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

Specified by:

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

Parameters:

v1 - first Object

v2 - second Object

Returns:

the distance between two given Objects according to this distance function

doubleNorm

public double doubleNorm(SparseNumberVector<?,?> v1)

Description copied from interface: DoubleNorm

Compute the norm of object obj as double value.

Specified by:

doubleNorm in interface DoubleNorm<SparseNumberVector<?,?>>

Parameters:

v1 - Object

Returns:

Double

norm

public DoubleDistance norm(SparseNumberVector<?,?> obj)

Description copied from interface: Norm

Compute the norm of object obj.

Specified by:

norm in interface Norm<SparseNumberVector<?,?>,DoubleDistance>

Parameters:

obj - Object

Returns:

Norm

distance

public DoubleDistance distance(SparseNumberVector<?,?> v1,
                      SparseNumberVector<?,?> v2)

Description copied from interface: PrimitiveDistanceFunction

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

Specified by:

distance in interface PrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>

Specified by:

distance in class AbstractPrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

getDistanceFactory

public DoubleDistance getDistanceFactory()

Description copied from interface: DistanceFunction

Method to get the distance functions factory.

Specified by:

getDistanceFactory in interface DistanceFunction<SparseNumberVector<?,?>,DoubleDistance>

Specified by:

getDistanceFactory in class AbstractPrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>

Returns:

Factory for distance objects

getInputTypeRestriction

public SimpleTypeInformation<? super SparseNumberVector<?,?>> getInputTypeRestriction()

Description copied from interface: DistanceFunction

Get the input data type of the function.

Specified by:

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

Specified by:

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

Returns:

Type restriction

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<SparseNumberVector<?,?>,DoubleDistance>

Overrides:

isMetric in class AbstractPrimitiveDistanceFunction<SparseNumberVector<?,?>,DoubleDistance>

Returns:

true when metric.