An Improved Majorization Algorithm for Robust Procrustes Analysis

DOI10.1007/3-540-27373-5_18zbMath1341.62180OpenAlexW2144721647MaRDI QIDQ3178559

Patrick J. F. Groenen, Patrizia Giaquinto, Henk A. L. Kiers

Publication date: 14 July 2016

Published in: Studies in Classification, Data Analysis, and Knowledge Organization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/3-540-27373-5_18

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

On the correspondence between Procrustes analysis and bidimensional regression ⋮ A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis

Cites Work

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• Correspondence analysis with least absolute residuals
• Resistant orthogonal Procrustes analysis
• Modern multidimensional scaling: theory and applications
• Weighted least squares fitting using ordinary least squares algorithms
• Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems
• A generalized solution of the orthogonal Procrustes problem
• The orthogonal approximation of an oblique structure in factor analysis
• The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
• Robust Estimation of a Location Parameter

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