dtw: Dynamic Time Warping algorithms

A comprehensive implementation of Dynamic Time Warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. All common DTW variants are covered, including local (slope) and global (window) constraints, distance definitions, length normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, several plot styles, etc.

Version: 1.15
Depends: R (≥ 2.10.0), methods, proxy
Imports: proxy
Enhances: proxy
Published: 2012-08-22
Author: Toni Giorgino,
Maintainer: Toni Giorgino <toni.giorgino at gmail.com>
License: GPL (≥ 2)
URL: http://dtw.r-forge.r-project.org/
NeedsCompilation: yes
Citation: dtw citation info
In views: TimeSeries
CRAN checks: dtw results

Downloads:

Package source: dtw_1.15.tar.gz
MacOS X binary: dtw_1.15.tgz
Windows binary: dtw_1.15.zip
Reference manual: dtw.pdf
Vignettes: Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package
News/ChangeLog:ChangeLog
Old sources: dtw archive

Reverse dependencies:

Reverse suggests: ChemometricsWithR