An improved sequential method for principal component analysis

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

13 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1409-1415
Journal / PublicationPattern Recognition Letters
Volume24
Issue number9-10
Publication statusPublished - Jun 2003

Abstract

In sequential principal component (PC) extraction, when increasing numbers of PCs are extracted the accumulated extraction error becomes dominant and makes a reliable extraction of the remaining PCs difficult. This paper presents an improved cascade recursive least squares method for PCs' extraction. The good features of the proposed approach are illustrated through simulation results, and include improved convergence speed and higher extraction accuracy. © 2002 Elsevier Science B.V. All rights reserved.

Research Area(s)

  • Cascade recursive least squares (CRLS), Principal component analysis, Vector orthogonalization by subspace deflation

Citation Format(s)

An improved sequential method for principal component analysis. / Wang, Ze; Lee, Yin; Fiori, Simone et al.
In: Pattern Recognition Letters, Vol. 24, No. 9-10, 06.2003, p. 1409-1415.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review