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Listar por palabra clave "PCA model building"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "PCA model building"

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    Assessment of maximum likelihood PCA missing data imputation 
    Folch Fortuny, Abel; Arteaga Moreno, Francisco Javier; Ferrer, Alberto (Wiley, 2016-07)
    Maximum likelihood principal component analysis (MLPCA) was originally proposed to incorporate measurement error variance information in principal component analysis (PCA) models. MLPCA can be used to fit PCA models in the ...
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    Missing Data Imputation Toolbox for MATLAB 
    Folch Fortuny, Abel; Arteaga Moreno, Francisco Javier; Ferrer, Alberto (Elsevier, 2016-03-15)
    [EN] Here we introduce a graphical user-friendly interface to deal with missing values called Missing Data Imputation (MDI) Toolbox. This MATLAB toolbox allows imputing missing values, following missing completely at random ...
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    PCA model building with missing data: New proposals and a comparative study 
    Folch-Fortuny, Abel; ARTEAGA MORENO, FRANCISCO JAVIER; Ferrer Riquelme, Alberto José (Elsevier, 2015-08-15)
    [EN] This paper introduces new methods for building principal component analysis (PCA) models with missing data: projection to the model plane (PMP), known data regression (KDR), KDR with principal component regression ...