Metaheuristics of DR methods

Authors

Deepak Venugopal, University of Memphis
Max Garzon, University of Memphis
Nirman Kumar, University of Memphis
Ching Chi Yang, University of Memphis
Lih Yuan Deng, University of Memphis

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.

Publication Title

Dimensionality Reduction in Data Science

Recommended Citation

Venugopal, D., Garzon, M., Kumar, N., Yang, C., & Deng, L. (2022). Metaheuristics of DR methods. Dimensionality Reduction in Data Science, 199-218. https://doi.org/10.1007/978-3-031-05371-9_10