Comparisons among several methods for handling missing data in principal component analysis (PCA)
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DOI: 10.1007/s11634-018-0310-9
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References listed on IDEAS
- Michael E. Tipping & Christopher M. Bishop, 1999. "Probabilistic Principal Component Analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(3), pages 611-622.
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Cited by:
- A. Iodice D’Enza & A. Markos & F. Palumbo, 2022. "Chunk-wise regularised PCA-based imputation of missing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(2), pages 365-386, June.
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More about this item
Keywords
Homogeneity criterion; Missing data passive (MDP) method; Alternating least squares (ALS) algorithm; Weighted low rank approximation (WLRA) method; Regularized PCA (RPCA) method; Trimmed scores regression (TSR) method; Data augmentation (DA) method; Congruence coefficient;All these keywords.
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