Multiple Factor Analysis Based on NIPALS Algorithm to Solve Missing Data Problems

Missing or unavailable data (NA) in multivariate data analysis is often treated with imputation methods and, in some cases, records containing NA are eliminated, leading to the loss of information. This paper addresses the problem of NA in multiple factor analysis (MFA) without resorting to eliminat...

Descripció completa

Dades bibliogràfiques

Autors principals:	Andrés F. Ochoa-Muñoz, Javier E. Contreras-Reyes
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-09-01
Col·lecció:	Algorithms
Matèries:	available data principle longitudinal data missing data multiple factor analysis NIPALS
Accés en línia:	https://www.mdpi.com/1999-4893/16/10/457
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!