Missing data in multiple correspondence analysis under the available data principle of the NIPALS algorithm

Multiple correspondence analysis (MCA) in the presence of missing data is usually performed by removing the records that have missing or not available (NA) data; sometimes, an entire row or column of a data matrix is removed, which is not ideal because relevant information on an individual or variab...

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Bibliographic Details
Main Authors: Andrés Felipe Ochoa Muñoz, Víctor Manuel Gonzalez Rojas, Campo Elías Pardo Turriago
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2019-10-01
Series:Dyna
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/80261