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
Вид статья
Язык английский
Дата добавления 08.02.2013
Размер файла 659,7 K

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