Sequential extraction of minor components

Tianping Chen; Shun Ichi Amari; Noboru Murata

doi:10.1023/A:1011388608203

Sequential extraction of minor components

Tianping Chen, Shun Ichi Amari, Noboru Murata

先進理工学部

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
巻	13
発行部数	3
DOI	https://doi.org/10.1023/A:1011388608203
出版物ステータス	Published - 2001 6 1

フィンガープリント

ASJC Scopus subject areas

Software
Neuroscience(all)
Computer Networks and Communications
Artificial Intelligence

これを引用

Chen, T., Amari, S. I., & Murata, N. (2001). Sequential extraction of minor components. Neural Processing Letters, 13(3), 195-201. https://doi.org/10.1023/A:1011388608203

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文献にアクセス

10.1023/A:1011388608203