Fast Constrained Dynamic Time Warping for Similarity Measure of Time Series Data

Fast Constrained Dynamic Time Warping for Similarity Measure of Time Series Data

In this paper, we propose an efficient algorithm for reducing the computational complexity of dynamic time warping (DTW) for obtaining similarity measures between time series. The DTW technique exhibits superior classification accuracy compared to other algorithms but has a limitation of high comput...

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Bibliographic Details
Main Authors: Wonyoung Choi, Jaechan Cho, Seongjoo Lee, Yunho Jung
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Computational complexity
dynamic time warping
similarity measure
time series data
Online Access:https://ieeexplore.ieee.org/document/9290106/

Internet

https://ieeexplore.ieee.org/document/9290106/

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