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Title: TIchinese_A1306 Download
 Description: matlab pattern recognition algorithm is used to learn the whole is a good helper
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模式识别matlab工具箱\Classification MatLab Toolbox\About.bmp
....................\.............................\Ada_Boost.m
....................\.............................\ADDC.m
....................\.............................\AGHC.m
....................\.............................\Backpropagation_Batch.m
....................\.............................\Backpropagation_CGD.m
....................\.............................\Backpropagation_Quickprop.m
....................\.............................\Backpropagation_Recurrent.m
....................\.............................\Backpropagation_SM.m
....................\.............................\Backpropagation_Stochastic.m
....................\.............................\Balanced_Winnow.m
....................\.............................\Bayesian_Model_Comparison.m
....................\.............................\Bhattacharyya.m
....................\.............................\BIMSEC.m
....................\.............................\C4_5.m
....................\.............................\calculate_error.m
....................\.............................\calculate_region.m
....................\.............................\CART.m
....................\.............................\CARTfunctions.m
....................\.............................\Cascade_Correlation.m
....................\.............................\Chernoff.m
....................\.............................\chess.mat
....................\.............................\Classification.txt
....................\.............................\classification_error.m
....................\.............................\classifier.m
....................\.............................\classifier.mat
....................\.............................\classifier_commands.m
....................\.............................\click_points.m
....................\.............................\clouds.mat
....................\.............................\Competitive_learning.m
....................\.............................\Components_without_DF.m
....................\.............................\Components_with_DF.m
....................\.............................\contents.m
....................\.............................\decision_region.m
....................\.............................\Deterministic_annealing.m
....................\.............................\Deterministic_Boltzmann.m
....................\.............................\Deterministic_SA.m
....................\.............................\Discrete_Bayes.m
....................\.............................\Discriminability.m
....................\.............................\DSLVQ.m
....................\.............................\EM.m
....................\.............................\enter_distributions.m
....................\.............................\enter_distributions.mat
....................\.............................\enter_distributions_commands.m
....................\.............................\feature_selection.m
....................\.............................\feature_selection.mat
....................\.............................\Feature_selection.txt
....................\.............................\feature_selection_commands.m
....................\.............................\FindParameters.m
....................\.............................\FindParameters.mat
....................\.............................\FindParametersFunctions.m
....................\.............................\find_classes.m
....................\.............................\FishersLinearDiscriminant.m
....................\.............................\fuzzy_k_means.m
....................\.............................\GaussianParameters.m
....................\.............................\GaussianParameters.mat
....................\.............................\generate_data_set.m
....................\.............................\Genetic_Algorithm.m
....................\.............................\Genetic_

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