REDUCTION OF TRAINING SAMPLES DIMENSION IN PATTERN RECOGNITION OF SPACE IMAGES USING PRINCIPAL COMPONENTS ANALYSIS

REDUCTION OF TRAINING SAMPLES DIMENSION IN PATTERN RECOGNITION OF SPACE IMAGES USING PRINCIPAL COMPONENTS ANALYSIS

The essence of principal components analysis and the problem of dimension reduction are described. A method of principal components calculation is presented, which is based on the covariance matrix eigenvalues determination. Practical implementations of principal components analysis are described, w...

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Bibliographic Details
Main Author:	D. V. Pradun
Format:	Article
Language:	Russian
Published:	National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2016-09-01
Series:	Informatika
Online Access:	https://inf.grid.by/jour/article/view/36
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