Class TimeseriesSAX

  • All Implemented Interfaces:
    ClassCrossReference, CleanUpHandler, CrossReference, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, ShallowCopySupporter<Filter>, SizeOfHandler, TechnicalInformationHandler, Filter<Timeseries>, Serializable, Comparable

    public class TimeseriesSAX
    extends AbstractSAX<Timeseries>
    implements ClassCrossReference
    Performs Symbolic Aggregate approXimation (SAX).
    The data must be normalized using beforehand.
    For more information see:

    Chiu, B., Keogh, E., Lonardi, S. (2003). Probabilistic Discovery of Time Series Motifs.

    See also:

        author = {Chiu, B. and Keogh, E. and Lonardi, S.},
        booktitle = {9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
        pages = {493-498},
        title = {Probabilistic Discovery of Time Series Motifs},
        year = {2003},
        location = {Washington, DC, USA},
        PDF = {\~eamonn/SIGKDD_Motif.pdf}

    -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
        The logging level for outputting errors and debugging output.
        default: WARNING
    -no-id-update <boolean> (property: dontUpdateID)
        If enabled, suppresses updating the ID of data containers.
        default: false
    -num-windows <int> (property: numWindows)
        The number of windows to use for Piecewise Aggregate Approximation (PAA).
        default: 10
        minimum: 1
    -num-bins <int> (property: numBins)
        The number of bins to use for the Gaussian.
        default: 10
        minimum: 1
    -output-labels <boolean> (property: outputLabels)
        If enabled, labels are output instead of distances.
        default: true
    $Revision: 1286 $
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Constructor Detail

      • TimeseriesSAX

        public TimeseriesSAX()
    • Method Detail

      • getMeanDeltaX

        protected double getMeanDeltaX​(Timeseries data)
        Computes the mean difference between data points on the X axis.
        Specified by:
        getMeanDeltaX in class AbstractSAX<Timeseries>
        data - the data to use for the calculation
        the mean
      • getX

        protected double getX​(DataPoint point)
        Obtains the X value from the given data point.
        Specified by:
        getX in class AbstractSAX<Timeseries>
        point - the data point to extract the X value from
        the X value
      • getY

        protected double getY​(DataPoint point)
        Obtains the Y value from the given data point.
        Specified by:
        getY in class AbstractSAX<Timeseries>
        point - the data point to extract the Y value from
        the Y value
      • newDataPoint

        protected DataPoint newDataPoint​(double x,
                                         double y)
        Creates a new data point from the X and Y values.
        Specified by:
        newDataPoint in class AbstractSAX<Timeseries>
        x - the raw X value
        y - the raw Y value
        the data point