de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Class LCSSDistanceFunction<V extends NumberVector<V,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction<O,D>
          de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction<V,DoubleDistance>
              de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction<V>

Type Parameters:

V - the type of FeatureVector to compute the distances in between

All Implemented Interfaces:

DistanceFunction<V,DoubleDistance>, MeasurementFunction<V,DoubleDistance>, Parameterizable

@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<V extends NumberVector<V,?>>
extends AbstractDistanceFunction<V,DoubleDistance>

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

Author:

Thomas Bernecker

Nested Class Summary

protected static class

LCSSDistanceFunction.Step

Field Summary

private double	pDelta Keeps the currently set pDelta.
static OptionID	PDELTA_ID OptionID for PDELTA_PARAM
private DoubleParameter	PDELTA_PARAM PDELTA parameter
private double	pEpsilon Keeps the currently set pEpsilon.
static OptionID	PEPSILON_ID OptionID for PEPSILON_PARAM
private DoubleParameter	PEPSILON_PARAM PEPSILON parameter

Fields inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

distanceFactory

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

LCSSDistanceFunction(Parameterization config)
Constructor, adhering to Parameterizable

Method Summary

DoubleDistance

distance(V v1, V v2) Provides the Longest Common Subsequence distance between the given two vectors.

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

distance, distance

Methods inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

getDatabase, getDistanceFactory, infiniteDistance, nullDistance, setDatabase, undefinedDistance, valueOf

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

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.MeasurementFunction

getDistanceFactory, infiniteDistance, nullDistance, setDatabase, undefinedDistance, valueOf

Field Detail

PDELTA_ID

public static final OptionID PDELTA_ID

OptionID for PDELTA_PARAM

PEPSILON_ID

public static final OptionID PEPSILON_ID

OptionID for PEPSILON_PARAM

PDELTA_PARAM

private final DoubleParameter PDELTA_PARAM

PDELTA parameter

PEPSILON_PARAM

private final DoubleParameter PEPSILON_PARAM

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(Parameterization config)

Constructor, adhering to Parameterizable

Parameters:

config - Parameterization

Method Detail

distance

public DoubleDistance distance(V v1,
                               V v2)

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

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

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