Explore the role of principal components in machine learning algorithms, such as principal component analysis (PCA) and
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Explore the role of principal components in machine learning algorithms, such as principal component analysis (PCA) and linear discriminant analysis (LDA). How do these dimensionality reduction techniques extract the most informative features or principal components from high-dimensional data sets to improve classification, clustering, and prediction accuracy in pattern recognition tasks ?
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Business Analytics Communicating With Numbers
ISBN: 9781260785005
1st Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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