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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2013
|
| Subjects: | |
| Online Access: | https://doaj.org/article/e72d4fc0ff894a55812c19a15fc275c6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|