qks1lver/pca_plot

Version 1.0.0.0 (203 KB) by Jiun Yen
Better PCA visualization
0.0
(0)
53 Downloads
Updated 22 Jul 2017
View License on GitHub

Make a better plot for your PCA results FAST! Have your data points labeled, so you can see them and compare more easily!
Try this:
data = rand(30,20);
[coeff,~,~,~,explained] = pca(data);
h = pca_plot(coeff,explained,num2cell(1:20),[],'.');

Cite As

Jiun Yen (2025). qks1lver/pca_plot (https://github.com/qks1lver/pca_plot), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
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Version Published Release Notes
1.0.0.0

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.