tutorial.distancefunction

Class MultiLPNorm

java.lang.Object

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

tutorial.distancefunction.MultiLPNorm

All Implemented Interfaces:

DistanceFunction<NumberVector>, NumberVectorDistanceFunction<NumberVector>, PrimitiveDistanceFunction<NumberVector>

public class MultiLPNorm
extends AbstractNumberVectorDistanceFunction

Tutorial example Minowski-distance variation with different exponents for different dimensions for ELKI.

See Distance function tutorial

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	MultiLPNorm.Parameterizer Parameterization class example

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	pinv Normalization factor (count(ps)/sum(ps))
(package private) double[]	ps The exponents

Constructor Summary

Constructors

Constructor and Description
MultiLPNorm(double[] ps) Constructor.

Method Summary

Modifier and Type	Method and Description
double	distance(NumberVector o1, NumberVector o2) Computes the distance between two given vectors according to this distance function.
SimpleTypeInformation<? super NumberVector>	getInputTypeRestriction() Get the input data type of the function.

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

dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality

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.PrimitiveDistanceFunction

instantiate

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

isMetric, isSquared, isSymmetric

Field Detail

ps

double[] ps

The exponents

pinv

double pinv

Normalization factor (count(ps)/sum(ps))

Constructor Detail

MultiLPNorm

public MultiLPNorm(double[] ps)

Constructor.

Parameters:

ps - The exponents

Method Detail

distance

public double distance(NumberVector o1,
                       NumberVector o2)

Description copied from interface: NumberVectorDistanceFunction

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

Parameters:

o1 - first vector

o2 - second vector

Returns:

the distance between two given vectors according to this distance function

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>

Specified by:

getInputTypeRestriction in interface PrimitiveDistanceFunction<NumberVector>

Overrides:

getInputTypeRestriction in class AbstractNumberVectorDistanceFunction

Returns:

Type restriction