December 2017
Beginner to intermediate
311 pages
11h 26m
English
A good understanding of features is fundamental for designing a proper pattern recognition system. Thus this chapter deals with all aspects of this concept, beginning with a mere classification of the kinds of features, up to the methods for reducing the dimensionality of the feature space. A typical beginner’s mistake is to apply mathematical operations to the numeric representation of a feature, just because it is syntactically possible, albeit these operations have no meaning whatsoever for the underlying problem. Therefore, the first section elaborates on the different types of possible features and their traits.
In empiricism, the scale of measurement (also: level of measurement) is an important ...
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