FrechetDistance {TSdist}

Frechet distance

Description

Computes the Frechet distance between two numerical trajectories.

Usage

FrechetDistance(x, y, tx, ty, ...)

Arguments

x

Numeric vector containing the first time series.

y

Numeric vector containing the second time series.

tx

If not constant, a numeric vector that specifies the sampling index of series x.

ty

If not constant, a numeric vector that specifies the sampling index of series y.

...

Additional parameters for the function. See distFrechet for more information.

Details

This is essentially a wrapper for the distFrechet function of package longitudinalData. As such, all the functionalities of the distFrechet 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

Christophe Genolini (2014). longitudinalData: Longitudinal Data. R package version 2.2. http://CRAN.R-project.org/package=longitudinalData

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/.

Eiter, T., & Mannila, H. (1994). Computing Discrete Frechet Distance. Technical Report. Retrieved from http://www.kr.tuwien.ac.at/staff/eiter/et-archive/cdtr9464.pdf

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.serie3 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 distance based on wavelet feature extraction between the series.

## Not run: FrechetDistance(example.series3, example.series4)