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This chapter will give a brief general introduction into the field of classification and an overview of some important types of classifiers. Classification is a research area in its own right, which over the last 40 years has combined results from disciplines as different as biology, psychology, mathematics, and computer science. Covering such an extensive and varied scientific field with even a minimal claim to completeness is naturally beyond the scope of this text, as is treating all commonly used types of classifiers in mathematical detail. Yet we will at least mention the principal types to give the reader some orientation in this important area of pattern recognition tasks. We will therefore discuss the multilayer perceptron neural network used in the pattern recognition examples of Chap. 5 in depth.
KeywordsPattern Recognition Example Instance-based Classifier Prototype Pattern Border Problems Classical Polynomial
- Bishop CM (1995) Neural networks and pattern recognition. Oxford University Press, OxfordGoogle Scholar
- Bronstein IN, Semendjajew KA, Musiol G, Mühlig H (2005) Taschenbuch der Mathematik, 6th edn. Harri Deutsch, Frankfurt a. MGoogle Scholar
- Pao YH (1989) Adaptive pattern recognition and neural networks. Addison-Wesley, ReadingGoogle Scholar