About this document

SVD Method for PCA Implementation by Stephane Atabong is a document available to read on EtoBox.

The document discusses the use of Singular Value Decomposition (SVD) to solve Principal Component Analysis (PCA), detailing the transformations and recovery of PCA elements from SVD. It highlights key properties, special cases like standard and normalized PCA, and emphasizes the stability of the SVD approach. Additionally, it includes mathematical notes on the equivalence between PCA and SVD, along with references for further reading.

Author

Stephane Atabong

Language

EN