Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package
Toni Giorgino
Journal of Statistical Software, 2009, vol. 031, issue i07
Abstract:
Dynamic time warping is a popular technique for comparing time series, providing both a distance measure that is insensitive to local compression and stretches and the warping which optimally deforms one of the two input series onto the other. A variety of algorithms and constraints have been discussed in the literature. The dtw package provides an unification of them; it allows R users to compute time series alignments mixing freely a variety of continuity constraints, restriction windows, endpoints, local distance definitions, and so on. The package also provides functions for visualizing alignments and constraints using several classic diagram types.
Date: 2009-08-14
References: View complete reference list from CitEc
Citations: View citations in EconPapers (58)
Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v031i07/v31i07.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... 07/dtw_1.14-1.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... v031i07/v31i07.R.zip
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:031:i07
DOI: 10.18637/jss.v031.i07
Access Statistics for this article
Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis
More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().