Sequential extraction of minor components

Tianping Chen*, Shun Ichi Amari, Noboru Murata

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


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
Issue number3
Publication statusPublished - 2001 Jun
Externally publishedYes


  • Minor component
  • Sequential algorithm

ASJC Scopus subject areas

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


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