Neural Processing Letters

, Volume 13, Issue 3, pp 195–201

Sequential Extraction of Minor Components

  • Tianping Chen
  • Shun-Ichi Amari
  • Noboru Murata
Article

DOI: 10.1023/A:1011388608203

Cite this article as:
Chen, T., Amari, SI. & Murata, N. Neural Processing Letters (2001) 13: 195. doi:10.1023/A:1011388608203

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.

minor component sequential algorithm 

Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Tianping Chen
    • 1
  • Shun-Ichi Amari
    • 2
  • Noboru Murata
    • 2
  1. 1.Department of MathematicsFudan UniversityShanghaiP.R.China
  2. 2.RIKEN Brain Science InstituteWako-shi, SaitamaJapan

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