dtw v1.18-1


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by Toni Giorgino

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.

Functions in dtw

Name Description
dtwDist Compute a dissimilarity matrix
dtwPlotThreeWay Plotting of dynamic time warp results: annotated warping function
aami ANSI/AAMI EC13 Test Waveforms, 3a and 3b
dtwPlot Plotting of dynamic time warp results
dtwWindowingFunctions Global constraints and windowing functions for DTW
dtw Dynamic Time Warp
mvm Minimum Variance Matching algorithm
stepPattern Step patterns for DTW
warp Apply a warping to a given timeseries
countPaths Count the number of possible warping paths
dtw-internal Internal dtw Functions
dtw-package Dynamic Time Warp algorithms in R
warpArea Compute Warping Path Area
dtwPlotTwoWay Plotting of dynamic time warp results: pointwise comparison
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Last month downloads


Type Package
Date 2015-9-1
License GPL (>= 2)
URL http://dtw.r-forge.r-project.org/
NeedsCompilation yes
Packaged 2015-09-01 10:12:16 UTC; toni
Repository CRAN
Date/Publication 2015-09-01 17:55:23

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