Dimensionality Reduction Demonstration
Version 1.2 (3.86 KB) by
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 Release Compatibility
Created with
R2018a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.