October 2008
Intermediate to advanced
984 pages
30h 43m
English
Content preview from Pattern Recognition, 4th EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 5. Feature Selection
5.1. Introduction
In all previous chapters, we considered the features that should be available prior to the design of the classifier. The goal of this chapter is to study methodologies related to the selection of these variables. As we pointed out very early in the book, a major problem associated with pattern recognition is the so-called curse of dimensionality (Section 2.5.6). The number of features at the disposal of the designer of a classification system is usually very large. As we will see in Chapter 7, this number can easily reach the order of a few dozens or even hundreds.
There is more than one reason to reduce the number of features to a sufficient minimum. Computational complexity is the obvious one. ...
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