Resources for Discriminant Analysis

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.

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Softwares/Codes

• If you have Matlab Statistical toolbox, use Matlab function classify. Aleix Martinez provide source code for subclass and optimal discriminant analysis in his web site
• PyChem contains Discriminant function analysis written in Python . Its open source software.
• For Discriminant analysis in Java, consider Weka project
• Discriminant analysis using Praat (software for speech manipulation and analysis) written in C under GPL

Other Tutorials

• Discriminant Function Analysis from StatSoft
• Discriminant tutorial Using SPSS with FAQ
• Logistic regression and discriminant analysis using SPSS code

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
  

Books

• Pattern Classification by Richard O. Duda, Peter E. Hart and David G. Stork
• Discriminant Analysis by William Klecka (See Inside)
• 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

Applications

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

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