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dtw (version 1.17-1)

Dynamic time warping algorithms

Description

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.

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Version

Install

install.packages('dtw')

Monthly Downloads

9,282

Version

1.17-1

License

GPL (>= 2)

Maintainer

Toni Giorgino

Last Published

December 11th, 2013

Functions in dtw (1.17-1)

countPaths

Count the number of possible warping paths
warpArea

Compute Warping Path Area
dtw-internal

Internal dtw Functions
dtw-package

Dynamic Time Warp algorithms in R
dtw

Dynamic Time Warp
dtwWindowingFunctions

Global constraints and windowing functions for DTW
dtwPlotThreeWay

Plotting of dynamic time warp results: annotated warping function
dtwPlot

Plotting of dynamic time warp results
warp

Apply a warping to a given timeseries
aami

ANSI/AAMI EC13 Test Waveforms, 3a and 3b
mvm

Minimum Variance Matching algorithm
dtwDist

Compute a dissimilarity matrix
dtwPlotTwoWay

Plotting of dynamic time warp results: pointwise comparison
stepPattern

Step patterns for DTW