This document discusses feature extraction and selection methods for principal component analysis. It provides an introduction to principal component analysis and how it can be used for dimensionality reduction by transforming correlated variables into a set of uncorrelated variables. The document serves as a tutorial on feature extraction, selection, and principal component analysis.

1. S.A.Quadri Collaborative µ-electronic Design Excellence Centre Universiti Sains Malaysia Feature extraction and selection methods & Introduction to Principal component analysis A Tutorial

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