Metaheuristics of DR Methods

Deepak Venugopal (), Max Garzon (), Nirman Kumar (), Ching-Chi Yang () and Lih-Yuan Deng ()
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Deepak Venugopal: The University of Memphis, Computer Science
Max Garzon: The University of Memphis, Computer Science
Nirman Kumar: The University of Memphis, Computer Science
Ching-Chi Yang: The University of Memphis, Mathematical Sciences
Lih-Yuan Deng: The University of Memphis, Mathematical Sciences

Chapter Chapter 10 in Dimensionality Reduction in Data Science, 2022, pp 199-218 from Springer

Abstract: Abstract This chapter synthesizes key heuristics distilled from a number of methods that can be applied to dimensionality reduction, leveraging choices such as feature grouping and domain knowledge, as well as the meta-implications of feature selection, such as explainability. Also, some points for reflection on the inherent limitations of dimensionality reduction methods are considered.

Date: 2022
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DOI: 10.1007/978-3-031-05371-9_10

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