Public Code for Statistical Pattern Recognition

1. General

2. Applications

3. Specific Methods

   1. K-Means
   2. Bayesian Methods
   3. Sequential Classifiers
   4. Discriminating Feature Methods
   5. Fuzzy
   6. K-Nearest Neighbor
   7. Linear and Higher Order Discriminant Functions
   8. Minimum Distance
   9. Multi-classifier fusion
   10. Neural Network and Perceptrion Methods
   11. Markov Random Field
   12. Genetic Algorithm
   13. Nonparametric Estimation
   14. Support Vector Machine
   15. Expectation Maximization
   16. Etc.

Details of the content

General

1. PRTools Delft Pattern Recognition Group
2.  Data Mining Techniques StatSoft, Inc.
3.  Introduction: Statistical Pattern Recognition Toolbox Vojtech Franc (Center for Machine Perception, Czech Technical University)

Applications

1. Face Recognition Software Mislav Grgic 
2. Fast Artificial Neural Network Library (FANN) FANN
3. Text processing

   Name	Author	Language
   MALLET	Andrew McCallum et. al.	JAVA

    

Specific Methods

1. K-Means
   
   

   Name	Author	Language
   Netlab	Ian Nabney	Matlab
   Bayesian K-means	Kenichi Kurihara	Matlab
   K-means	Dan Pelleg and Andrew Moore	C
   Efficient Algorithms for K-Means Clustering	Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu	C++

2. Bayesian Methods
   
   
   • Graphical Models and Bayesian Networks (Kevin Murphy / Matlab)
3. Sequential Classifiers
4. Discriminating Feature Methods
5. Fuzzy
6. K-Nearest Neighbor
   
   

   Name	Author	Language
   Netlab	Ian Nabney	Matlab
   Dense K nearest neighbor	Paul Komarek, Jeanie Komarek, Ting Liu and Andrew Moore	C
   Sparse K nearest neighbor	Paul Komarek, Jeanie Komarek, Ting Liu and Andrew Moore	C
   LNKnet Classifiers	MIT Lincoln Laboratory	Modular algos with GUI
   K-NN (class package)	-	R

7. Linear and Higher Order Discriminant Functions
8. Minimum Distance
9. Multi-classifier fusion
10. Neural Network and Perceptrion Methods
    • Neural Network softwares
    • Radial Basis function networks

      Name	Author	Language
      Netlab	Ian Nabney	Matlab
      RBF networks	Mark Orr	Matlab

    • Kohonen networks

      Name	Author	Language
      Ko C	Alan Dix	JAVA
      SOM_PAK	Teuvo Kohonen, Jussi Hynninen, Jari Kangas, and Jorma Laaksonen	C++
      SOM Toolbox	Helsinki University of Technology	MATLAB
      QCON Java Framework	Dominik Kapusta	JAVA

11. Markov Random Field
12. Genetic Algorithm
    

    Name	Author	Language
    Genetic Algorithms Repository	Sushil Louis	Various
    Genetic Algorithm	Luay1985(?)	C

13. Nonparametric Estimation
14. Support Vector Machine
    

    Name	Author	Language
    LIBSVM -- A Library for Support Vector Machines	Chih-Chung Chang	C++
    Multi-Class Support Vector Machine	Thorsten Joachims	C

15. Expectation Maximization
16. Etc.

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© 2008 Robert Fisher