Principal Component Analysis for Large Matrix
Version 1.0.0.0 (1.35 KB) by
Richang Hong
This function will occupy large storage space during running time.
2.5K Downloads
Updated
6 Feb 2009
No License
This function process the original matrix row by row. Firstly compute the mean vector and save it. Then scale the matrix and compute the eigenvector and eigenvalue by matlab function. Finally project the matrix according to the eigensapce.
Cite As
Richang Hong (2024). Principal Component Analysis for Large Matrix (https://www.mathworks.com/matlabcentral/fileexchange/22905-principal-component-analysis-for-large-matrix), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2008a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Version | Published | Release Notes | |
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1.0.0.0 |