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

Class LCSSDistanceFunction

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.timeseries.LCSSDistanceFunction

All Implemented Interfaces:

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

@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 AbstractVectorDoubleDistanceFunction

Provides the Longest Common Subsequence distance for FeatureVectors. 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

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.
static OptionID	PDELTA_ID PDELTA parameter
private double	pEpsilon Keeps the currently set pEpsilon.
static OptionID	PEPSILON_ID PEPSILON parameter

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleDistance(NumberVector<?,?> v1, NumberVector<?,?> v2) Provides the Longest Common Subsequence distance between the given two vectors.
boolean	equals(Object obj)
VectorFieldTypeInformation<? 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, 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_ID

public static final OptionID PDELTA_ID

PDELTA parameter

PEPSILON_ID

public static final OptionID PEPSILON_ID

PEPSILON parameter

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

doubleDistance

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

Provides the Longest Common Subsequence distance between the given two vectors.

Parameters:

v1 - first Object

v2 - second Object

Returns:

the Longest Common Subsequence distance between the given two vectors as an instance of DoubleDistance.

getInputTypeRestriction

public VectorFieldTypeInformation<? 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

equals

public boolean equals(Object obj)

Overrides:

equals in class Object