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
인용 양식
AJ Geiger (2026). feanalysis (https://kr.mathworks.com/matlabcentral/fileexchange/65755-feanalysis), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
개발 환경:
R2016b
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- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
Help Center 및 MATLAB Answers에서 Dimensionality Reduction and Feature Extraction에 대해 자세히 알아보기
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Factor Analysis Class & Demo/
| 버전 | 게시됨 | 릴리스 정보 | |
|---|---|---|---|
| 1.0.0.0 | updated summary
added link |