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Comparisons among several methods for handling missing data in principal component analysis (PCA) - MaRDI portal

Comparisons among several methods for handling missing data in principal component analysis (PCA) (Q1999456)

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scientific article; zbMATH DE number 7073915
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English
Comparisons among several methods for handling missing data in principal component analysis (PCA)
scientific article; zbMATH DE number 7073915

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    Comparisons among several methods for handling missing data in principal component analysis (PCA) (English)
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    27 June 2019
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    homogeneity criterion
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    missing data passive method
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    alternating least squares algorithm
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    weighted low-rank approximation method
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    regularized PCA method
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    trimmed scores regression method
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    data augmentation method
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    congruence coefficient
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