12. Other Classification Algorithms

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch12

Book Title

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

Additional Information

How to Cite

Schaathun, H. G. (2012) Other Classification Algorithms, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch12

Author Information

  1. Ålesund University College, Norway

Publication History

  1. Published Online: 22 AUG 2012
  2. Published Print: 21 AUG 2012

ISBN Information

Print ISBN: 9780470663059

Online ISBN: 9781118437957

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CHAPTER TOOLS

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Keywords:

  • other classification algorithms, classifiers and supervised learning;
  • SVM in solving geometric, of separating points in feature space;
  • classifier algorithms, Bayesian from Bayesian statistics;
  • risk capturing bad events/degree of badness;
  • total risk of a classifier, risks associated with events;
  • probability distribution estimation, three approaches;
  • non-parametric method, popular KDE;
  • multivariate regression analysis, and steganalysis;
  • unsupervised learning, cluster/clustering, learning as a function of data;
  • K-means clustering algorithm in Python

Summary

This chapter contains sections titled:

  • Bayesian Classifiers

  • Estimating Probability Distributions

  • Multivariate Regression Analysis

  • Unsupervised Learning

  • Summary

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