文件名称:PR
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超全的模式识别Matlab源程序,涉及几乎所有常见算法,还有图形界面,可以图形显示分析结果
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下载文件列表
压缩包 : 105230324pr.rar 列表 PR\About.bmp PR\Ada_Boost.m PR\ADDC.m PR\AGHC.m PR\Backpropagation_Batch.m PR\Backpropagation_CGD.m PR\Backpropagation_Quickprop.m PR\Backpropagation_Recurrent.m PR\Backpropagation_SM.m PR\Backpropagation_Stochastic.m PR\Balanced_Winnow.m PR\Bayesian_Model_Comparison.m PR\Bhattacharyya.m PR\BIMSEC.m PR\C4_5.m PR\calculate_error.m PR\calculate_region.m PR\CART.m PR\CARTfunctions.m PR\Cascade_Correlation.m PR\Chernoff.m PR\Classification.txt PR\classification_error.m PR\classifier.m PR\classifier.mat PR\classifier_commands.m PR\classify_paramteric.m PR\click_points.m PR\combinations.m PR\Competitive_learning.m PR\Components_without_DF.m PR\Components_with_DF.m PR\contents.m PR\datasets\chess.mat PR\datasets\clouds.mat PR\datasets\DHSchapter10.mat PR\datasets\DHSchapter2.mat PR\datasets\DHSchapter3.mat PR\datasets\DHSchapter4.mat PR\datasets\DHSchapter5.mat PR\datasets\DHSchapter6.mat PR\datasets\DHSchapter7.mat PR\datasets\DHSchapter8.mat PR\datasets\DHSchapter9.mat PR\datasets\DHS_cover.mat PR\datasets\four_spiral.mat PR\datasets\spiral.mat PR\datasets\XOR.mat PR\datasets PR\Deterministic_annealing.m PR\Deterministic_Boltzmann.m PR\Deterministic_SA.m PR\Discrete_Bayes.m PR\Discriminability.m PR\DSLVQ.m PR\EM.m PR\enter_distributions.m PR\enter_distributions.mat PR\enter_distributions_commands.m PR\Exhaustive_Feature_Selection.m PR\feature_selection.m PR\feature_selection.mat PR\Feature_selection.txt PR\feature_selection_commands.m PR\FindParameters.m PR\FindParameters.mat PR\FindParametersFunctions.m PR\FishersLinearDiscriminant.m PR\fuzzy_k_means.m PR\GaussianParameters.m PR\GaussianParameters.mat PR\generate_data_set.m PR\Genetic_Algorithm.m PR\Genetic_Culling.m PR\Genetic_Programming.m PR\Gibbs.m PR\HDR.m PR\high_histogram.m PR\Ho_Kashyap.m PR\ICA.m PR\ID3.m PR\Infomat.m PR\Information_based_selection.m PR\Interactive_Learning.m PR\Kohonen_SOFM.m PR\k_means.m PR\Leader_Follower.m PR\LMS.m PR\load_file.m PR\Local_Polynomial.m PR\LocBoost.m PR\LocBoostFunctions.m PR\loglikelihood.m PR\LS.m PR\LVQ1.m PR\LVQ3.m PR\make_a_draw.m PR\Marginalization.m PR\MDS.m PR\Minimum_Cost.m PR\min_spanning_tree.m PR\ML.m PR\ML_diag.m PR\ML_II.m PR\multialgorithms.m PR\multialgorithms.mat PR\multialgorithms_commands.m PR\MultipleDiscriminantAnalysis.m PR\Multivariate_Splines.m PR\NDDF.m PR\NearestNeighborEditing.m PR\Nearest_Neighbor.m PR\NLCA.m PR\None.m PR\Optimal_Brain_Surgeon.m PR\Other\Bayesian_Belief_Networks.m PR\Other\Bayesian_parameter_est.m PR\Other\Bayes_belief_net.mat PR\Other\Bottom_Up_Parsing.m PR\Other\Boyer_Moore_String_Matching.m PR\Other\contents.m PR\Other\demo_fun.m PR\Other\Edit_Distance.m PR\Other\gradient_descent.m PR\Other\Grammatical_Inference.m PR\Other\high_histogram.m PR\Other\HMM_Backward.m PR\Other\HMM_Boltzmann.m PR\Other\HMM_Decoding.m PR\Other\HMM_Evaluation.m PR\Other\HMM_Forward.m PR\Other\HMM_Forward_Backward.m PR\Other\HMM_generate.m PR\Other\mean_bootstrap.m PR\Other\mean_jackknife.m PR\Other\Naive_String_Matching.m PR\Other\Newton_descent.m PR\Other\ROCC.m PR\Other\sample_hmm.mat PR\Other\Stochastic_Regression.m PR\Other\sufficient_statistics.m PR\Other PR\Parzen.m PR\PCA.m PR\Perceptron.m PR\Perceptron_Batch.m PR\Perceptron_BVI.m PR\Perceptron_FM.m PR\Perceptron_VIM.m PR\Perceptron_Voted.m PR\plot_process.m PR\plot_scatter.m PR\PNN.m PR\Pocket.m PR\predict_performance.m PR\Preprocessing.txt PR\process_params.m PR\Projection_Pursuit.m PR\RBF_Network.m PR\RCE.m PR\RDA.m PR\README.txt PR\read_algorithms.m PR\Relaxation_BM.m PR\Relaxation_SSM.m PR\Scaling_transform.m PR\Sequential_Feature_Selection.m PR\show_algorithms.m PR\SOHC.m PR\start_classify.m PR\Stochastic_SA.m PR\Store_Grabbag.m PR\Stumps.m PR\SVM.m PR\synthetic.mat PR\voronoi_regions.m PR\Whitening_transform.m PR