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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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Autor Principal: D. V. Pradun
Formato: Artigo
Idioma:Russo
Publicado: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2016-09-01
Series:Informatika
Acceso en liña:https://inf.grid.by/jour/article/view/36
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