Principal Component Analysis for large feature and small observation
This file is PCA for large feature.
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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 (2026). Principal Component Analysis for large feature and small observation (https://in.mathworks.com/matlabcentral/fileexchange/45967-principal-component-analysis-for-large-feature-and-small-observation), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: EOF
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 1.1.0.0 (379 Bytes)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
