adams.data.utils
Class SAXUtils

java.lang.Object
  adams.data.utils.SAXUtils

public class SAXUtils
extends Object

A helper class for SAX

Author:

dale (dale at waikato dot ac dot nz)

Constructor Summary

SAXUtils()

Method Summary

static double[]	calcBreakPoints(int bins) Calculate the break points for equal-frequency bins for a gaussian.
static double[][]	calcDistMatrix(double[] bps) Calculate the distance matrix for use in the MINDIST function.
static void	main(String[] args) Runs the algorithm from commandline.
static double	minDist(double[] q, double[] c, double[][] distMatrix, int orig_n) Calculate the distance between 2 SAX vectors.
static double[]	PAA(double[] inarray, int numwindows) Piecewise Aggregate Approximation.
static double[]	toSAX(double[] inarray, int numwindows, double[] bps) Convert a row in original space into SAX labels.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SAXUtils

public SAXUtils()

Method Detail

PAA

public static double[] PAA(double[] inarray,
                           int numwindows)

Piecewise Aggregate Approximation.

Parameters:

inarray - input array

numwindows - number of pieces

Returns:

PAA

toSAX

public static double[] toSAX(double[] inarray,
                             int numwindows,
                             double[] bps)

Convert a row in original space into SAX labels. Assumes original space has been x normalised (rownorm?).

Parameters:

inarray -

numwindows -

bps -

Returns:

calcDistMatrix

public static double[][] calcDistMatrix(double[] bps)

Calculate the distance matrix for use in the MINDIST function.

Parameters:

bps - breakpoints

Returns:

distance matrix

minDist

public static double minDist(double[] q,
                             double[] c,
                             double[][] distMatrix,
                             int orig_n)

Calculate the distance between 2 SAX vectors.

Parameters:

q - vector 1

c - vector 2

distMatrix - distance matrix

orig_n - original vector length

Returns:

distance measure

calcBreakPoints

public static double[] calcBreakPoints(int bins)

Calculate the break points for equal-frequency bins for a gaussian.

Parameters:

bins - number of bins

Returns:

break points. Z numbers.

main

public static void main(String[] args)

Runs the algorithm from commandline.

Parameters:

args - the options