主成分分析 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "主成分分析" in Chinese language version.

refsWebsite

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10web.archive.org

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1books.google.com

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arxiv.org

Geiger, Bernhard; Kubin, Gernot (Sep 2012), Relative Information Loss in the PCA （页面存档备份，存于互联网档案馆）

books.google.com

Fukunaga, Keinosuke. Introduction to Statistical Pattern Recognition. Elsevier. 1990. ISBN 0122698517.

cnblogs.com

主成分分析（principal components analysis, PCA）——无监督学习. （原始内容存档于2020-08-19）.

mathworks.com

eig function （页面存档备份，存于互联网档案馆） Matlab documentation
MATLAB PCA-based Face recognition software. [2012-04-30]. （原始内容存档于2012-03-09）.

salk.edu

snl.salk.edu

Jonathon Shlens, A Tutorial on Principal Component Analysis. （页面存档备份，存于互联网档案馆）

smmu.edu.cn

stat.smmu.edu.cn

Pearson, K. On Lines and Planes of Closest Fit to Systems of Points in Space (PDF). Philosophical Magazine. 1901, 2 (6): 559–572 [2012-01-24]. （原始内容 (PDF)存档于2013-10-20）.

springer.com

Jolliffe I.T. Principal Component Analysis （页面存档备份，存于互联网档案馆）, Series: Springer Series in Statistics （页面存档备份，存于互联网档案馆）, 2nd ed., Springer, NY, 2002, XXIX, 487 p. 28 illus. ISBN 978-0-387-95442-4

ulb.ac.be

A. A. Miranda, Y. A. Le Borgne, and G. Bontempi. New Routes from Minimal Approximation Error to Principal Components （页面存档备份，存于互联网档案馆）, Volume 27, Number 3 / June, 2008, Neural Processing Letters, Springer
A.A. Miranda, Y.-A. Le Borgne, and G. Bontempi. New Routes from Minimal Approximation Error to Principal Components （页面存档备份，存于互联网档案馆）, Volume 27, Number 3 / June, 2008, Neural Processing Letters, Springer

web.archive.org

主成分分析（principal components analysis, PCA）——无监督学习. （原始内容存档于2020-08-19）.
Pearson, K. On Lines and Planes of Closest Fit to Systems of Points in Space (PDF). Philosophical Magazine. 1901, 2 (6): 559–572 [2012-01-24]. （原始内容 (PDF)存档于2013-10-20）.
Jolliffe I.T. Principal Component Analysis （页面存档备份，存于互联网档案馆）, Series: Springer Series in Statistics （页面存档备份，存于互联网档案馆）, 2nd ed., Springer, NY, 2002, XXIX, 487 p. 28 illus. ISBN 978-0-387-95442-4
A. A. Miranda, Y. A. Le Borgne, and G. Bontempi. New Routes from Minimal Approximation Error to Principal Components （页面存档备份，存于互联网档案馆）, Volume 27, Number 3 / June, 2008, Neural Processing Letters, Springer
Jonathon Shlens, A Tutorial on Principal Component Analysis. （页面存档备份，存于互联网档案馆）
Geiger, Bernhard; Kubin, Gernot (Sep 2012), Relative Information Loss in the PCA （页面存档备份，存于互联网档案馆）
A.A. Miranda, Y.-A. Le Borgne, and G. Bontempi. New Routes from Minimal Approximation Error to Principal Components （页面存档备份，存于互联网档案馆）, Volume 27, Number 3 / June, 2008, Neural Processing Letters, Springer
eig function （页面存档备份，存于互联网档案馆） Matlab documentation
MATLAB PCA-based Face recognition software. [2012-04-30]. （原始内容存档于2012-03-09）.
Eigenvalues function （页面存档备份，存于互联网档案馆） Mathematica documentation

wolfram.com

reference.wolfram.com

Eigenvalues function （页面存档备份，存于互联网档案馆） Mathematica documentation