A Metric Learning-Based Univariate Time Series Classification Method

High-dimensional time series classification is a serious problem. A similarity measure based on distance is one of the methods for time series classification. This paper proposes a metric learning-based univariate time series classification method (ML-UTSC), which uses a Mahalanobis matrix on metric...

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Bibliographic Details

Published in:	Information
Main Authors:	Kuiyong Song, Nianbin Wang, Hongbin Wang
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Subjects:	Mahalanobis metric learning multivariable time series univariate
Online Access:	https://www.mdpi.com/2078-2489/11/6/288