March 2010
Intermediate to advanced
150 pages
7h 13m
English
book
Introduction to Pattern Recognition: A Matlab Approach
by Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras
Content preview from Introduction to Pattern Recognition: A Matlab Approach
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30 CHAPTER 2 Classifiers Based on Cost Function Optimization
(a) (b)
(c)
FIGURE 2.1
(a) Linearly separable 2-class classification problem; (b)–(c) 2-class classification problems that are not linearly
separable.
2.2 THE PERCEPTRON ALGORITHM
The perceptron algorithm is appropriate for the 2-class problem and for classes that are linearly
separable. Figure 2.1(a) shows an example of linearly separable classes, and Figure 2.1(b,c) shows
two cases of classes that are not linearly separable. The perceptron algorithm computes the values of
the weights w of a linear classifier, which separates the two classes.
The algorithm is iterative. It starts with an initia ...
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