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% Statistical Pattern Recognition Toolbox.%% Contents%%   bayes     - (dir) Bayes classification.%   datasets  - (dir) Functions for handling with data sets.%   generalp  - (dir) General purpose functions.%   learning  - (dir) Statistical learning methods.%   linear    - (dir) Linear discriminat function synthesis.%   quadrat   - (dir) Quadratic discriminant function synthesis.%   pca       - (dir) Principal Component Analysis.%   svm       - (dir) Support Vectors Machines.%%   Contents.m   - this file%   modiflog.txt - Log file with modifications to the toolbox.%   readme.txt   - File to be read first before start working%                  with the toolbox.%   setpath.m    - Set path to the STPRtoolbox.%%% List of demo programs%%   Linear discriminat function:%    andrdemo    - Generalized Anderson's task.%    fishdemo    - Fisher's classifiers, convex cones.%    lindemo     - Finite point sets splitting (Perceptron, etc. ).%%   Quadratic discriminant function:%    quademo     - Non-linear data mapping, quadratic function.%%   Statistical learning methods:%    mmdemo      - Minimax learnig algorithms.%    unsudemo    - Unsupervised (EM) learning algorithms.%%   Bayes:%    bayesdemo1  - Discriminat function of Bayes classifier.%    bayesdemo2  - Bayes classsification and error estimation.%    bayesdemo3  - Bayesian risk and minimax strategy.%%   Principal Component Analysis (PCA):%    pcademo1    - Demo on the standard linear PCA.%    kpcademo1   - Demo on the non-linear Kernel-PCA.%%   Support Vector Machines:%    svmdemo     - Demo on the Support Vector Machines.%% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz% Written Vojtech Franc (diploma thesis) 26.02.2000% Modifications% 11-Nov-2001, V.Franc, bayesdemo3% 23-Oct-2001, V.Franc, SVM demo% 6-June-2001, V.Franc, PCA demos% 11-june-2001, V.Franc, Bayes demo added% 24. 6.00 V. Hlavac, updated to match actual state.% 23-mar-2001, V.Franc, added new directories

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