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What is PCA and Feature Selection Techniques about?

The document outlines examination questions for a course on statistical methods, focusing on PCA, discriminant analysis, canonical correlation analysis, and multiple correspondence analysis, along with feature selection techniques. It details the mathematical derivations and interpretations of these methods, including eigenvalues and variance decomposition. Additionally, it describes various feature selection methods aimed at improving model performance and addressing dimensionality issues.

Author

pierrick.verhoosel

Language

EN