PCA in c
-
Updated
May 1, 2024 - C
PCA in c
We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora.
A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
Recognition of standard army hand gestures.
Add a description, image, and links to the principal-component-analysis topic page so that developers can more easily learn about it.
To associate your repository with the principal-component-analysis topic, visit your repo's landing page and select "manage topics."