MindistSaxDistance: Symbolic Aggregate Aproximation based dissimilarity

In TSdist: Distance Measures for Time Series Data

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)

TSdist documentation built on Aug. 31, 2022, 5:09 p.m.