Cruz Barnum

On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis

Principal Component Analysis (PCA) aims to find subspaces spanned by the so-called *principal components* that best represent the variance in the dataset. The deflation method is a popular meta-algorithm that sequentially finds individual principal components, starting from the most important ones a…