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

Class LCSSDistanceFunction

java.lang.Object

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

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

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

All Implemented Interfaces:

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

@Title(value="Longest Common Subsequence distance function")
@Reference(authors="M. Vlachos, M. Hadjieleftheriou, D. Gunopulos, E. Keogh",
           title="Indexing Multi-Dimensional Time-Series with Support for Multiple Distance Measures",
           booktitle="Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining",
           url="http://dx.doi.org/10.1145/956750.956777")
public class LCSSDistanceFunction
extends AbstractNumberVectorDistanceFunction

Longest Common Subsequence distance for numerical vectors. Adapted for Java, based on Matlab Code by Michalis Vlachos. Original Copyright Notice: BEGIN COPYRIGHT NOTICE lcsMatching code -- (c) 2002 Michalis Vlachos (http://www.cs.ucr.edu/~mvlachos) This code is provided as is, with no guarantees except that bugs are almost surely present. Published reports of research using this code (or a modified version) should cite the article that describes the algorithm:

M. Vlachos, M. Hadjieleftheriou, D. Gunopulos, E. Keogh:
Indexing Multi-Dimensional Time-Series with Support for Multiple Distance Measures
In Proc. of 9th SIGKDD, Washington, DC, 2003

Comments and bug reports are welcome. Email to mvlachos@cs.ucr.edu I would also appreciate hearing about how you used this code, improvements that you have made to it. You are free to modify, extend or distribute this code, as long as this copyright notice is included whole and unchanged. END COPYRIGHT NOTICE

Author:

Thomas Bernecker

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LCSSDistanceFunction.Parameterizer Parameterization class.

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor and Description
LCSSDistanceFunction(double pDelta, double pEpsilon) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	distance(NumberVector v1, NumberVector v2) Computes the distance between two given DatabaseObjects according to this distance function.
boolean	equals(Object obj)
VectorTypeInformation<? super NumberVector>	getInputTypeRestriction() Get the input data type of the function.
double	getRange(NumberVector v1, int dim1, NumberVector v2, int dim2)

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

dimensionality, dimensionality, dimensionality, dimensionality

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

instantiate, isMetric, isSymmetric

Methods inherited from class java.lang.Object

clone, 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

pDelta

private double pDelta

Keeps the currently set pDelta.

pEpsilon

private double pEpsilon

Keeps the currently set pEpsilon.

Constructor Detail

LCSSDistanceFunction

public LCSSDistanceFunction(double pDelta,
                    double pEpsilon)

Constructor.

Parameters:

pDelta - pDelta

pEpsilon - pEpsilon

Method Detail

distance

public double distance(NumberVector v1,
              NumberVector v2)

Description copied from interface: PrimitiveDistanceFunction

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

Specified by:

distance in interface NumberVectorDistanceFunction<NumberVector>

Specified by:

distance in interface PrimitiveDistanceFunction<NumberVector>

Specified by:

distance in class AbstractPrimitiveDistanceFunction<NumberVector>

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

getRange

public double getRange(NumberVector v1,
              int dim1,
              NumberVector v2,
              int dim2)

getInputTypeRestriction

public VectorTypeInformation<? 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

equals

public boolean equals(Object obj)

Overrides:

equals in class Object