Acceleration of the alternating least squares algorithm for principal components analysis

DOI10.1016/j.csda.2010.06.001zbMath1247.62149OpenAlexW2074091762MaRDI QIDQ452548

Yuichi Mori, Masahiro Kuroda, Masaya Iizuka, Michio Sakakihara

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.06.001

zbMATH Keywords

acceleration of convergencealternating least squares algorithmPRINCALSPRINCIPALSvector \(\epsilon \) algorithm

Mathematics Subject Classification ID

Related Items (2)

Speeding up the convergence of the alternating least squares algorithm using vector \(\varepsilon\) acceleration and restarting for nonlinear principal component analysis ⋮ Generalized data-fitting factor analysis with multiple quantification of categorical variables

Uses Software

• R

Cites Work

• Acceleration of the EM algorithm using the vector epsilon algorithm
• Convergence of the sequence of parameters generated by alternating least squares algorithms
• Accelerating the convergence of the EM algorithm using the vector \(\varepsilon \) algorithm
• Quantitative analysis of qualitative data
• Extrapolation methods theory and practice
• The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features
• The Gifi system of descriptive multivariate analysis.
• Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems
• Acceleration Techniques for Iterated Vector and Matrix Problems
• Principal Component Analysis Based on a Subset of Variables: Variable Selection and Sensitivity Analysis

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