A Class of Robust Principal Component Ve
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Hidehiko Kamiya; Shinto Eguchi
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Article
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2001
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Elsevier Science
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English
β 293 KB
This paper is concerned with a study of robust estimation in principal component analysis. A class of robust estimators which are characterized as eigenvectors of weighted sample covariance matrices is proposed, where the weight functions recursively depend on the eigenvectors themselves. Also, a fe