Quantifying morphology changes in time series data with skew

This paper examines strategies to quantify differences in the morphology of time series while accounting for time skew in the observed data. We adapt four measures originally designed for signal shape comparison: Dynamic Time-Warping (DTW), Earth Mover's Distance (EMD), Frochet Distance (FD), a...

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Bibliographic Details
Main Authors: Sung, Phil, Syed, Zeeshan, Guttag, John V.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/62155
https://orcid.org/0000-0003-0992-0906

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