Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53302-0_8
Reference19 articles.
1. Josse, J., Husson, F.: missMDA: a package for handling missing values in multivariate data analysis. J. Stat. Softw. 70, 1–31 (2016)
2. Nguyen, T., Nguyen-Duy, K.M., Nguyen, D.H.M., Nguyen, B.T., Wade, B.A.: DPER: direct parameter estimation for randomly missing data. Knowl.-Based Syst. 240, 108082 (2022)
3. Nguyen, P., et al.: Faster imputation using singular value decomposition for sparse data. In: Asian Conference on Intelligent Information and Database Systems, pp. 135–146. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-5834-4_11
4. Lien, P.L., Do, T.T., Nguyen, T.: Data imputation for multivariate time-series data. In: 2023 15th International Conference on Knowledge and Systems Engineering (KSE), pp. 1–6. IEEE (2023)
5. Nguyen, T., Storås, A.M., Thambawita, V., Hicks, S.A., Halvorsen, P., Riegler, M.A.: Multimedia datasets: challenges and future possibilities. In: International Conference on Multimedia Modeling, pp. 711–717. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-27818-1_58
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