On automated identification in singular spectrum analysis for different types of objects
Methodology
2023-02-20 v1
Abstract
Approaches to automated grouping in singular spectrum analysis are considered. A new method for the identification of periodic components is proposed. The possibilities of extensions to multivariate time series and images are discussed.
Keywords
Cite
@article{arxiv.2302.08993,
title = {On automated identification in singular spectrum analysis for different types of objects},
author = {Nina Golyandina and Polina Zhornikova},
journal= {arXiv preprint arXiv:2302.08993},
year = {2023}
}