Principal Component Analysis for large feature and small observation

Version 1.1.0.0 (379 Bytes) by Kim Xu
This file is PCA for large feature.
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Updated 18 Jul 2014

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Small size of observation and huge features happens a lot in shape/image and bioinformatics analysis. This file provides an alternative way of perform PCA analysis.
More detail about PCA please check: http://www.math.fsu.edu/~qxu/TCI.html

Cite As

Kim Xu (2024). Principal Component Analysis for large feature and small observation (https://www.mathworks.com/matlabcentral/fileexchange/45967-principal-component-analysis-for-large-feature-and-small-observation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
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pca
Acknowledgements

Inspired: EOF

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Version Published Release Notes
1.1.0.0

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1.0.0.0