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Missing value imputation using least squares techniques in contaminated matrices

This paper describes strategies to reduce the possible effect of outliers on the quality of imputations produced by a method that uses a mixture of two least squares techniques: regression and lower rank approximation of a matrix. To avoid the influence of discrepant data and maintain the computatio...

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Detalles Bibliográficos
Autores principales: Garcia-Peña, Marisol, Arciniegas-Alarcón, Sergio, Krzanowski, Wojtek J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036115/
https://www.ncbi.nlm.nih.gov/pubmed/35478595
http://dx.doi.org/10.1016/j.mex.2022.101683