Pca (principial component analysis) in matlab

The following Matlab project contains the source code and Matlab examples used for pca (principial component analysis).  - 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.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
license.txt 1315
pcafunc.m 1038