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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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| Glavni autori: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2013
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3772882/ https://ncbi.nlm.nih.gov/pubmed/24058565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0074433 |
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