41714

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Principle Component Analysis: Robust Versions

ISBN/ISSN: 

0005-1179

Наименование источника: 

  • Automation and Remote Control

Обозначение и номер тома: 

Vol. 78, No. 3.

Город: 

  • New York

Издательство: 

  • PLEIADES PUBLISHING Ltd.

Год издания: 

2017

Страницы: 

490-506
Аннотация
Modern problems of optimization, estimation, signal and image processing, pattern recognition, etc., deal with huge-dimensional data; this necessitates elaboration of efficient methods of processing such data. The idea of building low-dimensional approximations to huge data arrays is in the heart of the modern data analysis. One of the most appealing methods of compact data representation is the statistical method referred to as the principal component analysis; however, it is sensitive to uncertainties in the available data and to the presence of outliers. In this paper, robust versions of the principle component analysis approach are proposed along with numerical methods for their implementation.

Библиографическая ссылка: 

Поляк Б.Т., Хлебников М.В. Principle Component Analysis: Robust Versions // Automation and Remote Control. 2017. Vol. 78, No. 3. С. 490-506.

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