Classification of multivariate functional data on different domains with Partial Least Squares approaches
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
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2022
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| _version_ | 1866914830185660416 |
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| author | Moindjie, Issam-Ali Dabo-Niang, Sophie Preda, Cristian |
| author_facet | Moindjie, Issam-Ali Dabo-Niang, Sophie Preda, Cristian |
| contents | Classification (supervised-learning) of multivariate functional data is considered when the elements of the random functional vector of interest are defined on different domains. In this setting, PLS classification and tree PLS-based methods for multivariate functional data are presented. From a computational point of view, we show that the PLS components of the regression with multivariate functional data can be obtained using only the PLS methodology with univariate functional data. This offers an alternative way to present the PLS algorithm for multivariate functional data. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2212_09145 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Classification of multivariate functional data on different domains with Partial Least Squares approaches Moindjie, Issam-Ali Dabo-Niang, Sophie Preda, Cristian Methodology Statistics Theory Classification (supervised-learning) of multivariate functional data is considered when the elements of the random functional vector of interest are defined on different domains. In this setting, PLS classification and tree PLS-based methods for multivariate functional data are presented. From a computational point of view, we show that the PLS components of the regression with multivariate functional data can be obtained using only the PLS methodology with univariate functional data. This offers an alternative way to present the PLS algorithm for multivariate functional data. |
| title | Classification of multivariate functional data on different domains with Partial Least Squares approaches |
| topic | Methodology Statistics Theory |
| url | https://arxiv.org/abs/2212.09145 |