Developments and Applications of Nonlinear Principal Component Analysis
The algorithm of the basic components of a linear analysis. Work on nonlinear PCA, or NLPCA, autoassociative's neural networks, principal curves and manifolds, kernel the combination's of these approaches. The problem areas that require research.
| Рубрика | Математика |
| Предмет | Statistical Analysis |
| Вид | статья |
| Язык | английский |
| Прислал(а) | Kruger, Zhang, Xie |
| Дата добавления | 08.02.2013 |
| Размер файла | 659,7 K |
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