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Overview: Classification

  • Christian Demant
  • Carsten GarnicaEmail author
  • Bernd Streicher-Abel
Chapter
  • 1.7k Downloads

Abstract

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.

Keywords

Pattern Recognition Example Instance-based Classifier Prototype Pattern Border Problems Classical Polynomial 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christian Demant
    • 1
  • Carsten Garnica
    • 1
    Email author
  • Bernd Streicher-Abel
    • 1
  1. 1.NeuroCheck GmbHRemseckGermany

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