Principal Component Analysis for large feature and small observation

Versione 1.1.0.0 (379 Byte) da Kim Xu
This file is PCA for large feature.
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Aggiornato 18 lug 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

Cita come

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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2009b
Compatibile con qualsiasi release
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Scopri di più su Dimensionality Reduction and Feature Extraction in Help Center e MATLAB Answers
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Versione Pubblicato Note della release
1.1.0.0

Update reference

1.0.0.0