1. Analyse discriminante matricielle descriptive. Application a l'\'etude de signaux EEG
- Author
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Spinnato, Juliette, Roubaud, Marie-Christine, Perrin, Margaux, Maby, Emmanuel, Mattout, Jeremie, Burle, Boris, and Torrésani, Bruno
- Subjects
Statistics - Applications ,Statistics - Methodology - Abstract
We focus on the descriptive approach to linear discriminant analysis for matrix-variate data in the binary case. Under a separability assumption on row and column variability, the most discriminant linear combinations of rows and columns are determined by the singular value decomposition of the difference of the class-averages with the Mahalanobis metric in the row and column spaces. This approach provides data representations of data in two-dimensional or three-dimensional plots and singles out discriminant components. An application to electroencephalographic multi-sensor signals illustrates the relevance of the method., Comment: in French, Journ{\'e}es de statistique de la SFDS, Jun 2015, Lille, France
- Published
- 2015