12. Other Classification Algorithms

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch12

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

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



  • 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


This chapter contains sections titled:

  • Bayesian Classifiers

  • Estimating Probability Distributions

  • Multivariate Regression Analysis

  • Unsupervised Learning

  • Summary