Journal of Statistics: Advances in Theory and Applications[1] R. J. A. Litter and D. B. Rubin, Statistical Analysis with Missing
Data, John Wiley and Sons, Hoboken, NJ, 1987.
[2] J. Han and M. Kamber, Data Mining Concepts and Techniques, 2nd
Edition, San Diego, USA, Academic Press, 2006.
[3] J. G. Xia and N. Psychogios, Metabo analyst: A web server for
metabolomic data analysis and interpretation, Nucleic Acids Research
37 (2009), 652-660.
[4] Z. M. Pan and Y. L. Chen, Local outlier detection algorithm based
on shared anti k-nearest neighbors, Computer Simulation 30(2)
(2010), 269-273.
[5] O. Alter, P. O. Brown and D. Botstein, Singular value
decomposition for genome-wide expression data processing and modeling,
Proc. Natl. Acad. Sci. USA, 27 (2000).
[6] C. M. Bishop, Variational principal components, In IEE Conference
Publication on Artificial Neural Networks (1999), 509-514.
[7] D. B. Rubin, Multiple Imputations for Nonresponse in Surveys, New
York, 1987.
[8] S. Oba and M. A. Sato, A Bayesian missing value estimation method
for gene expression profile data, Bioinformatics 19(16) (2003),
2088-2096.
[9] W. B. Guo and M. S. Wei, Singular Value Decomposition and its
Application in Generalized Inverse Theory, Beijing, Science Press,
2008.
[10] A. Savitzky and M. J. E. Golay, Smoothing and differentiation of
data by simplified least squares procedures, Analytical Chemistry (36)
(1964), 1627-1639.
[11] F. M. Wang, Research and Application of Data Missing Filling
Algorithm in Data Preprocessing, Guangdong University of Technology,
2010.
[12] H. Li, Statistical Learning Method, Beijing, Tsinghua University
Press, 2012.
[13] http://archive.ics.uci.edu/ml/datasets.html
