Resistant orthogonal Procrustes analysis

DOI10.1007/BF02621408zbMath0755.62050OpenAlexW2095077236MaRDI QIDQ1203096

Willem J. Heiser, Peter Verboon

Publication date: 4 February 1993

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02621408

zbMATH Keywords

outlierssimulation studyresistancecontaminationiterative majorizationHuber functionbiweight functionconvergent reweighted least squares algorithmleast squares Procrustes

Mathematics Subject Classification ID

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

Related Items

On the correspondence between Procrustes analysis and bidimensional regression ⋮ An Improved Majorization Algorithm for Robust Procrustes Analysis ⋮ Resistant lower rank approximation of matrices by iterative majorization ⋮ Robust canonical discriminant analysis ⋮ Weighted least squares fitting using ordinary least squares algorithms ⋮ A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis ⋮ Highly Resistant Regression and Object Matching

Cites Work

• Correspondence analysis with least absolute residuals
• Convergence of the majorization method for multidimensional scaling
• A model and algorithm for multidimensional scaling with external constraints on the distances
• Generalized Procrustes analysis
• A generalized solution of the orthogonal Procrustes problem
• The orthogonal approximation of an oblique structure in factor analysis
• Robust Statistics
• Unnamed Item
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