Sequential extraction of minor components

Tianping Chen, Shun Ichi Amari, Noboru Murata

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Principal component analysis (PCA) and Minor component analysis (MCA) are similar but have different dynamical performances. Unexpectedly, a sequential extraction algorithm for MCA proposed by Luo and Unbehauen [11] does not work for MCA, while it works for PCA. We propose a different sequential-addition algorithm which works for MCA. We also show a conversion mechanism by which any PCA algorithms are converted to dynamically equivalent MCA algorithms and vice versa.

Original languageEnglish
Pages (from-to)195-201
Number of pages7
JournalNeural Processing Letters
Volume13
Issue number3
DOIs
Publication statusPublished - 2001 Jun
Externally publishedYes

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Principal Component Analysis
Principal component analysis

Keywords

  • Minor component
  • Sequential algorithm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Neuroscience(all)

Cite this

Sequential extraction of minor components. / Chen, Tianping; Amari, Shun Ichi; Murata, Noboru.

In: Neural Processing Letters, Vol. 13, No. 3, 06.2001, p. 195-201.

Research output: Contribution to journalArticle

Chen, Tianping ; Amari, Shun Ichi ; Murata, Noboru. / Sequential extraction of minor components. In: Neural Processing Letters. 2001 ; Vol. 13, No. 3. pp. 195-201.
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