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The Scientific World Journal
Volume 2013, Article ID 720392, 10 pages
http://dx.doi.org/10.1155/2013/720392
Research Article

Clustering-Based Multiple Imputation via Gray Relational Analysis for Missing Data and Its Application to Aerospace Field

State Key Laboratory of Software Development Environment, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China

Received 7 March 2013; Accepted 9 April 2013

Academic Editors: Y.-P. Huang, P. Melin, M. F. G. Penedo, and D. Rodriguez

Copyright © 2013 Jing Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Archana Purwar, and Sandeep Kumar Singh, “Issues in data mining: A comprehensive survey,” 2014 IEEE International Conference on Computational Intelligence and Computing Research, IEEE ICCIC 2014, 2014. View at Publisher · View at Google Scholar
  • K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, and T. Becker, “Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Archana Purwar, and Sandeep Kumar Singh, “DBSCANI: Noise-Resistant Method for Missing Value Imputation,” Journal of Intelligent Systems, no. 0, 2015. View at Publisher · View at Google Scholar