Information-Theoretic Approaches

Max Garzon (), Sambriddhi Mainali () and Kalidas Jana ()
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Max Garzon: The University of Memphis, Computer Science
Sambriddhi Mainali: The University of Memphis, Computer Science
Kalidas Jana: Fogelman College of Business

Chapter Chapter 6 in Dimensionality Reduction in Data Science, 2022, pp 127-144 from Springer

Abstract: Abstract An entirely different but extremely relevant approach to dimensionality reduction can be taken using a different criterion, namely quantifying the information content of the features involved, within themselves or in relation to others. It turns out that Shannon’s definition of information yields surprisingly interesting reductions. This chapter discusses five major variations of this idea, including comparisons using the concept of mutual information previously used in statistics and machine learning.

Date: 2022
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DOI: 10.1007/978-3-031-05371-9_6

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