R: Symbolic Aggregate Aproximation based dissimilarity

MindistSaxDistance {TSdist} | R Documentation

## Symbolic Aggregate Aproximation based dissimilarity

### Description

Calculates the dissimilarity between two numerical series based on the distance between their SAX representations.

### Usage

    MindistSaxDistance(x, y, w, ...)

### Arguments

`x` | Numeric vector containing the first time series.
`y` | Numeric vector containing the second time series.
`w` | The amount of equal sized windows that the series will be reduced to.
`...` | Additional parameters for the function. See `diss.MINDIST.SAX` for more information.

### Details

This is simply a wrapper for the `diss.MINDIST.SAX` function of package TSclust. As such, all the functionalities of the `diss.MINDIST.SAX` function are also available when using this function.

### Value

`d` | The computed distance between the pair of series.

### Author(s)

Usue Mori, Alexander Mendiburu, Jose A. Lozano.

### References

Pablo Montero, José A. Vilar (2014). TSclust: An R Package for Time Series Clustering. Journal of Statistical Software, 62(1), 1-43. URL http://www.jstatsoft.org/v62/i01/.

### See Also

To calculate this distance measure using `ts`, `zoo` or `xts` objects see `TSDistances`. To calculate distance matrices of time series databases using this measure see `TSDatabaseDistances`.

### Examples

    # The objects example.series3 and example.series4 are two
    # numeric series of length 100 and 120 respectively.

    data(example.series3)
    data(example.series4)

    # For information on their generation and shape see
    # help page of example.series.

    help(example.series)

    # Calculate the mindist.sax distance between the two series using
    # 20 equal sized windows for each series. The rest of the parameters
    # are left in their default mode.

    MindistSaxDistance(example.series3, example.series4, w=20)

[Package TSdist version 3.6 Index]