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. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc., as described in Giorgino (2009) <doi:10.18637/jss.v031.i07>.

Package details

AuthorToni Giorgino [aut, cre]
MaintainerToni Giorgino <toni.giorgino@gmail.com>
LicenseGPL (>= 2)
Version1.23-1
URL https://dynamictimewarping.github.io/ http://dtw.r-forge.r-project.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dtw")

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dtw documentation built on Sept. 20, 2022, 1:06 a.m.