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

Class DerivativeDTWDistanceFunction

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.AbstractEditDistanceFunction

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

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

All Implemented Interfaces:

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

@Title(value="Derivative dynamic time warping")
@Reference(authors="E. J. Keogh and M. J. Pazzani",
           title="Derivative dynamic time warping",
           booktitle="1st SIAM International Conference on Data Mining (SDM-2001)",
           url="https://siam.org/proceedings/datamining/2001/dm01_01KeoghE.pdf")
public class DerivativeDTWDistanceFunction
extends DTWDistanceFunction

Derivative Dynamic Time Warping distance for numerical vectors. Reference:

E. J. Keogh and M. J. Pazzani
Derivative dynamic time warping
In the 1st SIAM International Conference on Data Mining (SDM-2001), Chicago, IL, USA.

Author:

Lara Hirschbeck, Daniel Kolb

Nested Class Summary

Nested classes/interfaces inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction

DTWDistanceFunction.Parameterizer

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction

bandSize

Constructor Summary

Constructors

Constructor and Description
DerivativeDTWDistanceFunction() Constructor.
DerivativeDTWDistanceFunction(double bandSize) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	derivative(int i, NumberVector v) Given a NumberVector and the position of an element, approximates the gradient of given element.
double	distance(NumberVector v1, NumberVector v2) Computes the distance between two given DatabaseObjects according to this distance function.
protected void	firstRow(double[] buf, int band, NumberVector v1, NumberVector v2, int dim2) Fill the first row.

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

delta

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

effectiveBandSize, equals, getInputTypeRestriction

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

Constructor Detail

DerivativeDTWDistanceFunction

public DerivativeDTWDistanceFunction()

Constructor.

DerivativeDTWDistanceFunction

public DerivativeDTWDistanceFunction(double bandSize)

Constructor.

Parameters:

bandSize - Band size

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>

Overrides:

distance in class DTWDistanceFunction

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

firstRow

protected void firstRow(double[] buf,
            int band,
            NumberVector v1,
            NumberVector v2,
            int dim2)

Description copied from class: DTWDistanceFunction

Fill the first row.

Overrides:

firstRow in class DTWDistanceFunction

Parameters:

buf - Buffer

band - Bandwidth

v1 - First vector

v2 - Second vector

dim2 - Dimensionality of second

derivative

public double derivative(int i,
                NumberVector v)

Given a NumberVector and the position of an element, approximates the gradient of given element.

Returns:

Derivative as double