hotelling-t2
Here are 6 public repositories matching this topic...
Language:All
pca: A Python Package for Principal Component Analysis.
- Updated
Mar 2, 2025 - Jupyter Notebook
Python implementation of the control charts used for process monitoring and anomaly detection
- Updated
Jun 18, 2023 - Python
The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, semi-minor, and semi-major axes lengths.
- Updated
Jan 4, 2025 - R
Hotellings T^2 Statistics Two sample Problem
- Updated
Nov 21, 2019
Analyze a dataset on muscular dystrophy and make statistical inferences
- Updated
Jan 28, 2023 - Jupyter Notebook
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
- Updated
Mar 20, 2025
Improve this page
Add a description, image, and links to thehotelling-t2 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thehotelling-t2 topic, visit your repo's landing page and select "manage topics."