Dimensionality Reduction Demonstration
版本 1.2 (3.9 KB) 作者:
Jingwei Too
Application of principal component analysis (PCA) for feature reduction.
* A program for feature reduction, principal component analysis ( PCA ) is offered
* The < Main.m file > illustrates the example of how PCA can reduce the number of features using benchmark data-set
* I also demo how to plot the first three components for PCA.
**********************************************************************************************************************************
MATLAB 版本兼容性
创建方式
R2018a
兼容任何版本
平台兼容性
Windows macOS Linux类别
- AI, Data Science, 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
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库。