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dtw (version 0.1-2)

Dynamic Time Warping algorithms

Description

Implementation of Dynamic Time Warp (DTW) and its generalizations. DTW finds the optimal mapping (local time stretch) between a given query into a given template time series. Implements symmetric, asymmetric, and custom step patterns with weights. Supports windowing (none, itakura, sakoe-chiba, custom). DTW outputs minimum cumulative distance, warping paths, etc.

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Install

install.packages('dtw')

Monthly Downloads

7,586

Version

0.1-2

License

GPL (>=2)

Maintainer

Toni Giorgino

Last Published

September 19th, 2022

Functions in dtw (0.1-2)

dtw

Dynamic Time Warp
dtw-internal

Internal dtw Functions
dtwWindowingFunctions

Sakoe-Chiba band and other windowing for DTW
testmatrix

Synthetic data sets (to be done)
dtw-package

Dynamic Time Warp algorithms in R
euclideanSquared

Euclidean Distance between two vectors