Unsupervised Feature Selection for Multivariate Time Series based on Improved FINCH-Reference-Cited by-同舟云学术

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Unsupervised Feature Selection for Multivariate Time Series based on Improved FINCH

Published:2023-12-27 Issue: Volume: Page:111-115
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing
language:
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Author:

Wang Ling¹^ORCID,Liu Wei²^ORCID,Chu Zhongkun²^ORCID

Affiliation:

1. Shunde Innovation School, University of science and technology of Beijing, China and School of automation and Electrical Engineering, University of science and technology of Beijing, China

2. School of automation and Electrical Engineering, University of science and technology of Beijing, China

Funder

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639479.3639503

Reference13 articles.

1. Feature subset selection and feature ranking for multivariate time series

2. Selecting the Top-k Discriminative Features Using Principal Component Analysis

3. Unsupervised feature selection for sensor time-series in pervasive computing applications

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