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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| Main Authors: | Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang, Peiyang Li, Dezhong Yao |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2013
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| Subjects: | |
| Online Access: | https://doaj.org/article/e72d4fc0ff894a55812c19a15fc275c6 |
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