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% Linear classifier based on the Fisher linear discriminat. % % fldqp - Computes Fisher's Linear Discriminat using QP. % lfld - Learns Fisher's Linear Discriminat. % % About: Statistical Patt
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% Probability distribution functions. % % estimation - (dir) Probability distribution estimation. % % dsamp - Generates samples from discrete distribution. % erfc2 - Normal cumulative dis
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% Probability distribution estimation. % % emgmm - Expectation-Maximization Algorithm for GMM. % melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture. % mlcgmm - Maximal Li
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% Probability distribution estimation. % % emgmm - Expectation-Maximization Algorithm for GMM. % melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture. % mlcgmm - Maximal Li
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% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.04 22-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
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% Optimization methods for STPRtoolbox. % % gmnp - Solves Generalized Minimal Norm (GMNP) problem. % gnnls - Solves Generalized Non-negative Least Squares (GNNLS) problem. % gnpp - S
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% Optimization methods for STPRtoolbox. % % gmnp - Solves Generalized Minimal Norm Problem (GMNP). % gnnls - Solves Generalized Non-negative Least Squares Problem (GNNLS). % gridsearch - F
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% FastICA for Matlab 7.x and 6.x % Version 2.5, October 19 2005 % Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el
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% TDSEP ICA tools version 2.01, 2/14/99 by AZ % % This is a simple and efficient MATLAB implementation of blind source separation. % Along the lines of Schuster and Molgedey [1] two (lagged) correl
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% Clustering Toolbox % Copyright (C) David Corney 2000 D.Corney@cs.ucl.ac.uk % %Clustering routines: % % dckmeans - k-means clustering % dcEMGMM - fits a Gaussian mixture model to data % dcF
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