tutorial.distancefunction

Class MultiLPNorm

java.lang.Object

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

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

tutorial.distancefunction.MultiLPNorm

All Implemented Interfaces:

DistanceFunction<NumberVector<?,?>,DoubleDistance>, NumberVectorDistanceFunction<DoubleDistance>, PrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>, PrimitiveDoubleDistanceFunction<NumberVector<?,?>>, InspectionUtilFrequentlyScanned, Parameterizable

public class MultiLPNorm
extends AbstractVectorDoubleDistanceFunction

Tutorial example for ELKI. See Distance function tutorial

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

Methods

Modifier and Type	Method and Description
double	doubleDistance(NumberVector<?,?> o1, NumberVector<?,?> o2) Computes the distance between two given Objects 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.AbstractVectorDoubleDistanceFunction

distance, getDistanceFactory

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

instantiate, isMetric, 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, isMetric, 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

doubleDistance

public double doubleDistance(NumberVector<?,?> o1,
                    NumberVector<?,?> o2)

Description copied from interface: PrimitiveDoubleDistanceFunction

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

Parameters:

o1 - first Object

o2 - second Object

Returns:

the distance between two given Objects 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<?,?>,DoubleDistance>

Specified by:

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

Overrides:

getInputTypeRestriction in class AbstractVectorDoubleDistanceFunction

Returns:

Type restriction