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Computing and Visualizing Dynamic Time Warping Alignments in R: the dtw Package

Academic Article
Publication Date:
2009
abstract:
Dynamic time warping is a popular technique for comparing time series, providing both a distance measure that is insensitive to local compression and stretches and the warping which optimally deforms one of the two input series onto the other. A variety of algorithms and constraints have been discussed in the literature. The dtw package provides an unication of them; it allows R users to compute time series alignments mixing freely a variety of continuity constraints, restriction windows, endpoints, local distance denitions, and so on. The package also provides functions for visualizing alignments and constraints using several classic diagram types.
Iris type:
01.01 Articolo in rivista
Keywords:
timeseries; alignment; dynamic programming; dynamic time warping.
List of contributors:
Giorgino, Toni
Authors of the University:
GIORGINO TONI
Handle:
https://iris.cnr.it/handle/20.500.14243/207418
Published in:
JOURNAL OF STATISTICAL SOFTWARE
Journal
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URL

http://www.jstatsoft.org/v31/i07
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