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:

  • classification methods, and five methods of classification - nearest neighbor, Bayesian networks, naive Bayes classifier, discriminant analysis, logistic regression and decision trees;
  • decision tree algorithms, with varying results - supporting software, and varying capabilities;
  • FACT algorithm, instead of combining problem of variable selection with split criteria - FACT dealing with them separately

Summary

This chapter contains sections titled:

  • Nearest Neighbor Methods

  • Discriminant Analysis

  • Logistic Regression

  • Principal Components

  • Naive Bayes Classifier

  • Heuristic Methods

  • Decision Trees

  • Which Algorithm Is Best for Your Application?

  • Improving Diagnostic Effectiveness

  • Software for Decision Trees

  • Summary