Multivariate Exploratory Data Analysis (MEDA) Toolbox for Matlab-Reference-Cited by-同舟云学术

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Multivariate Exploratory Data Analysis (MEDA) Toolbox for Matlab

Published:2015-04 Issue: Volume:143 Page:49-57
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Camacho José,Pérez-Villegas Alejandro,Rodríguez-Gómez Rafael A.,Jiménez-Mañas Elena

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference31 articles.

1. Principal component analysis;Jolliffe,2002

2. Data mining: concepts and techniques;Han,2006

3. On lines and planes of closest fit to systems of points in space;Pearson;Philos. Mag.,1901

4. A user's guide to principal components, Wiley series in probability and mathematical statistics;Jackson,2003

5. Nonlinear iterative partial least squares (NIPALS) estimation procedures;Wold,1969

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