Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation

Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation

In view of the importance of various components and asynchronous shapes of multivariate time series, a clustering method based on dynamic time warping and affinity propagation is proposed. From the two perspectives of the global and local properties information of multivariate time series, the relat...

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Bibliographic Details
Main Authors:	Xiaoji Wan, Hailin Li, Liping Zhang, Yenchun Jim Wu
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Wireless Communications and Mobile Computing
Online Access:	http://dx.doi.org/10.1155/2021/9915315

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