Single Imputation Via Chunk-Wise PCA

Author:

Iodice D’Enza Alfonso,Palumbo Francesco,Markos Angelos

Publisher

Springer International Publishing

Reference17 articles.

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2. Folch-Fortuny, A., Arteaga, F., Ferrer, A.: PCA model building with missing data: new proposals and a comparative study. Chemometr. Intell. Lab. Syst. 146, 77–88 (2015)

3. Geraci, M., Farcomeni, A.: Principal component analysis in the presence of missing data. In: Naik, G.R. (ed.) Advances in Principal Component Analysis, pp. 47–70. Springer (2018)

4. Gower, J.C.: Statistical methods of comparing different multivariate analyses of the same data. In: Hodson F.R., Kendall, D. G., Tautu, P. (eds.) Mathematics in the Archaeological and Historical Sciences, pp. 138–149. Edinburgh University Press, Edinburgh (1971)

5. Greenacre, M.J.: Biplots in practice, Fundacion BBVA (2010)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms;Recent Challenges in Intelligent Information and Database Systems;2023

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