The exploratory factor analysis class helps you quickly derive, analyze, and apply underlying latent variables in your dataset to help you build your predictive model or analyze trends in data. The class can handle both array and table data.
The following class will also be integrated into my modern GUI project, Link: https://www.mathworks.com/matlabcentral/fileexchange/65073-modern-gui-toolbox-iii
https://www.youtube.com/watch?v=_rf9LHcA89g&feature=youtu.be
引用格式
AJ Geiger (2026). feanalysis (https://ww2.mathworks.cn/matlabcentral/fileexchange/65755-feanalysis), MATLAB Central File Exchange. 检索时间: .
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R2016b
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- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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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| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0.0 | updated summary
added link |