Hybrid dynamic learning mechanism for multivariate time series segmentation-Reference-Cited by-同舟云学术

Hybrid dynamic learning mechanism for multivariate time series segmentation

Published:2020-01-25 Issue:2 Volume:13 Page:165-177
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Wang Ling¹^ORCID,Li Kang¹,Ma Qian¹,Lu YanRong¹

Affiliation:

1. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical EngineeringUniversity of Science and Technology Beijing Beijing China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11448

Reference22 articles.

1. Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series

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4. Identification and Bayesian Estimation of Dynamic Factor Models

5. Simultaneous multiple change-point and factor analysis for high-dimensional time series

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