Journal
TALANTA
Volume 72, Issue 1, Pages 172-178Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2006.10.011
Keywords
expectation maximization approach; robust PCA; missing elements
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An efficient methodology for dealing with missing values and outlying observations simultaneously in principal component analysis (PCA) is proposed. The concept described in the paper consists of using a robust technique to obtain robust principal components combined with the expectation maximization approach to process data with missing elements. It is shown that the proposed strategy works well for highly contaminated data containing different amounts of missing elements. The authors come to this conclusion on the basis of the results obtained from a simulation study and from analysis of a real environmental data set. (C) 2006 Elsevier B.V. All rights reserved.
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