For completeness of this LDA tutorial , I listed below several books, journals paper and Internet resources discuss about Discriminant Analysis for your further study. I welcome any feedback and input about other good resources that you want to include in this list; please tell me about it.

Discriminant Analysis Resources

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Linear Discriminant Analysis (LDA) Resources


  • If you have Matlab Statistical toolbox, use Matlab function classify .
  • For Discriminant analysis in Java, consider Weka project

Technical Papers

  • Feng Tang and Hai Tao, Fast Linear Discriminant Analysis Using Binary Bases , 18th International Conference on Pattern Recognition (ICPR), 2006,Volume 2.
  • Onur C. Hamsici and Aleix M. Martinez, Bayes Optimality in Linear Discriminant Analysis , IEEE Transactions on Pattern Analysis and Machine Intelligence.
  • Luca Cazzanti and Maya R. Gupta, Local Similarity Discriminant Analysis , Proceedings of the 24th International Conference on Machine Learning, Omni Press, 2007
  • Jieping Ye, Ravi Janardan and Qi Li, Two-Dimensional Linear Discriminant Analysis , NIPS 2004 Online Papers


  • Pattern Classification by Richard O. Duda, Peter E. Hart and David G. Stork
  • Discriminant Analysis by William Klecka
  • Discriminant Analysis and Statistical Pattern Recognition by Geoffrey J. McLachlan
  • Applied Discriminant Analysis by Carl J. Huberty
  • Applied MANOVA and Discriminant Analysis by Carl J. Huberty and Stephen Olejnik
  • Pattern Recognition and Machine Learning by Christopher M. Bishop
  • The Elements of Statistical Learning by T. Hastie, R. Tibshirani and J. H. Friedman


  • Todd K. Moon, Peg Howland, Jacob H. Gunther, Document Author Classification using Generalized Discriminant Analysis , Proceedings of the Fourth Workshop on Text Mining 2006

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