Analysis and convergence of weighted dimensionality reduction methods

Analysis and convergence of weighted dimensionality reduction methods

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We propose to use a Fisher type discriminant objective function addressed to weighted principal component analysis (WPCA) and weighted regularized discriminant analysis (WRDA) for dimensionality reduction. Additionally, two different proofs for the convergence of the method are obtained. First one...

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Bibliographic Details
Main Authors: Juan Carlos Riaño Rojas, Flavio Augusto Prieto Ortiz, Edgar Nelson Sánchez Camperos, Carlos Daniel Acosta Medina, Germán Augusto Castellanos Domínguez
Format: Article
Language:English
Published: Universidad de Antioquia 2013-02-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
PCA
PPCA
WPCA
WRDA
dimensionality reduction
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/14674

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/14674

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