Principal Component Analysis Matlab Code

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

The following matlab project contains the source code and matlab examples used for principal component analysis.

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: