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% Algorithms learning linear classifiers from finite vector sets.
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% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% ekozinec2 - Kozinec's algorithm for eps-optimal separ
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% Linear discriminant function and feature extraction.
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% anderson - (dir) Generalized Anderson's task.
% extraction - (dir) Linear feature extraction methods.
% finite - (dir) Separation of fi
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% Generalized Anderson's task.
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% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% eanders - Epsilon-solutio
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% Algorithms to solve the Generalized Anderson's task.
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% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% ean
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% Linear feature extraction.
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% lda - Linear Discriminant Analysis.
% pca - Principal Component Analysis.
% pcarec - Computes reconstructed vector after PCA projection.
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% About: Statistic
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% Linear transformations for feature extraction.
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% lda - Linear Discriminant Analysis.
% linproj - Linear data projection.
% pca - Principal Component Analysis.
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% About: Statistica
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% Fisher Linear Discriminat.
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% fld - Fisher Linear Discriminat.
% fldqp - Fisher Linear Discriminat using quadratic programming.
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% About: Statistical Pattern Recognition Toolbox
% (C) 1999-
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% Linear classifier based on the Fisher linear discriminat.
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% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
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% About: Statistical Patt
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% Probability distribution functions.
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% estimation - (dir) Probability distribution estimation.
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% dsamp - Generates samples from discrete distribution.
% erfc2 - Normal cumulative dis
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% Probability distribution estimation.
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% emgmm - Expectation-Maximization Algorithm for GMM.
% melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture.
% mlcgmm - Maximal Li