Statistical Learning Approaches

Ching-Chi Yang () and Lih-Yuan Deng ()
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Ching-Chi Yang: The University of Memphis, Mathematical Sciences
Lih-Yuan Deng: The University of Memphis, Mathematical Sciences

Chapter Chapter 8 in Dimensionality Reduction in Data Science, 2022, pp 169-177 from Springer

Abstract: Abstract Instead of retaining certain properties when selecting or extracting features, other methods aim to remove irrelevant and/or redundant features in the data using primarily statistical criteria. Features are now selected or extracted that have the highest impact on the prediction of the response/target variable based on various statistical solution methods. This chapter describes methods using linear regression and regularization that afford solutions to dimensionality reduction and solutions to problems that are explainable to humans.

Date: 2022
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DOI: 10.1007/978-3-031-05371-9_8

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