Z-score linear discriminant analysis for EEG based brain-computer interfaces.
Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not usually held in actual BCI applications...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2013
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| Accès en ligne: | https://doaj.org/article/e72d4fc0ff894a55812c19a15fc275c6 |
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