7. Classification Methods

  1. Phillip I. Good

Published Online: 23 FEB 2011

DOI: 10.1002/9780470937273.ch7

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

How to Cite

Good, P. I. (2011) Classification Methods, in Analyzing the Large Number of Variables in Biomedical and Satellite Imagery, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470937273.ch7

Author Information

  1. Huntington Beach CA, USA

Publication History

  1. Published Online: 23 FEB 2011
  2. Published Print: 21 MAR 2011

ISBN Information

Print ISBN: 9780470927144

Online ISBN: 9780470937273

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Keywords:

  • Bayesian network;
  • biomedical data;
  • decision trees;
  • discriminant analysis;
  • heuristic methods;
  • logistic regression;
  • naive Bayes classifier;
  • nearest neighbor methods

Summary

This chapter presents five methods of classification of subjects on the basis of their biomedical data: nearest neighbor, Bayesian networks, naïve Bayes classifier, discriminant analysis, logistic regression, and decision trees. It compares the most commonly used decision tree algorithms. With all methods, the chapter distinguishes between the training data used to create the classifying scheme and the test data. Finally, the chapter emphasizes the importance of validation with a completely distinct test set.

Controlled Vocabulary Terms

Bayesian network; discriminant analysis; influence diagram; logistic regression; nearest neighbor classifiers; Principal components analysis