Principal Component Analysis for large feature and small observation

版本 1.1.0.0 (379 字节) 作者: Kim Xu
This file is PCA for large feature.
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更新时间 2014/7/18

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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

引用格式

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. 检索来源 .

MATLAB 版本兼容性
创建方式 R2009b
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在 Help Center 和 MATLAB Answers 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息
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pca
致谢

启发作品: EOF

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