Sequential extraction of minor components

Tianping Chen, Shun Ichi Amari, Noboru Murata

研究成果: Article

17 引用 (Scopus)

抜粋

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.

元の言語English
ページ(範囲)195-201
ページ数7
ジャーナルNeural Processing Letters
13
発行部数3
DOI
出版物ステータスPublished - 2001 6 1

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ASJC Scopus subject areas

  • Software
  • Neuroscience(all)
  • Computer Networks and Communications
  • Artificial Intelligence

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