Symbolic principal plane with Duality Centers Method
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917570461827072 |
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| author | Rodriguez, Oldemar |
| author_facet | Rodriguez, Oldemar |
| contents | In \cite{ref11} and \cite{ref3}, the authors proposed the Centers and the Vertices Methods to extend the well known principal components analysis method to a particular kind of symbolic objects characterized by multi--valued variables of interval type. Nevertheless the authors use the classical circle of correlation to represent the variables. The correlation between the variables and the principal components are not symbolic, because they compute the standard correlations between the midpoints of variables and the midpoints of the principal components. It is well known that in standard principal component analysis we may compute the correlation between the variables and the principal components using the duality relations starting from the coordinates of the individuals in the principal plane, also we can compute the coordinates of the individuals in the principal plane using duality relations starting from the correlation between the variables and the principal components. In this paper we propose a new method to compute the symbolic correlation circle using duality relations in the case of interval-valued variables. Besides, the reader may use all the methods presented herein and verify the results using the {\tt RSDA} package written in {\tt R} language, that can be downloaded and installed directly from {\tt CRAN} \cite{Rod2014}. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10275 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Symbolic principal plane with Duality Centers Method Rodriguez, Oldemar Methodology In \cite{ref11} and \cite{ref3}, the authors proposed the Centers and the Vertices Methods to extend the well known principal components analysis method to a particular kind of symbolic objects characterized by multi--valued variables of interval type. Nevertheless the authors use the classical circle of correlation to represent the variables. The correlation between the variables and the principal components are not symbolic, because they compute the standard correlations between the midpoints of variables and the midpoints of the principal components. It is well known that in standard principal component analysis we may compute the correlation between the variables and the principal components using the duality relations starting from the coordinates of the individuals in the principal plane, also we can compute the coordinates of the individuals in the principal plane using duality relations starting from the correlation between the variables and the principal components. In this paper we propose a new method to compute the symbolic correlation circle using duality relations in the case of interval-valued variables. Besides, the reader may use all the methods presented herein and verify the results using the {\tt RSDA} package written in {\tt R} language, that can be downloaded and installed directly from {\tt CRAN} \cite{Rod2014}. |
| title | Symbolic principal plane with Duality Centers Method |
| topic | Methodology |
| url | https://arxiv.org/abs/2401.10275 |