抄録
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.
本文言語 | English |
---|---|
ページ(範囲) | 195-201 |
ページ数 | 7 |
ジャーナル | Neural Processing Letters |
巻 | 13 |
号 | 3 |
DOI | |
出版ステータス | Published - 2001 6 1 |
外部発表 | はい |
ASJC Scopus subject areas
- Software
- Neuroscience(all)
- Computer Networks and Communications
- Artificial Intelligence