Principal components analysis (PCA)

Version 1.0.0.0 (1.31 KB) by Siqing Wu
Principal components analysis (PCA)
1.0
(1)
4.5K Downloads
Updated 31 Jul 2008

No License

Do principal components analysis (PCA) on real-valued data.

Two methods are available: 'eig' and 'svd' which solve the problem by eigenvalue decomposition and singula value decomposition, respectively. Please note that 'svd' is running in 'economy' mode.

Cite As

Siqing Wu (2026). Principal components analysis (PCA) (https://www.mathworks.com/matlabcentral/fileexchange/20898-principal-components-analysis-pca), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
Tags Add Tags
Open in new tab
Version Published Release Notes
1.0.0.0

One line of testing code was not deleted in the first version.