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 |
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)