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PCA (Principial Component Analysis)

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- Subtracting the mean of the data from the original dataset
- Finding the covariance matrix of the dataset
- Finding the eigenvector(s) associated with the greatest eigenvalue(s)
- Projecting the original dataset on the eigenvector(s)
- Use only a certain number of the eigenvector(s)
- Do back-project to the original basis vectors

Implementation of
http://www.cs.otago.ac.nz/cosc453/student_..._components.pdf
"A tutorial on Principial Component Analysis"

Free download from Shareware Connection - Subtracting the mean of the data from the original dataset

Publisher: Andreas | License: Freeware | Price: 0.00
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 09-02-2013 | Rating: 0 | Title: PCA (Principial Component Analysis)

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/26793/3/pcafunc.zip

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