文件名称:pattern_classification_toolbox
介绍说明--下载内容均来自于网络,请自行研究使用
一个模式分类的工具箱,matlab语言实现,对模式识别相关方向的人很有用-pattern classification of a toolbox, Matlab language, pattern recognition related to the direction of useful
(系统自动生成,下载前可以参看下载内容)
下载文件列表
压缩包 : 9927394pattern_classification_toolbox.rar 列表 Perceptron.m Perceptron_Batch.m Perceptron_BVI.m Perceptron_FM.m Perceptron_VIM.m plot_process.m plot_scatter.m PNN.m Pocket.m predict_performance.m Preprocessing.txt process_params.m Projection_Pursuit.m RBF_Network.m RCE.m RDA.m read_algorithms.m Relaxation_BM.m Relaxation_SSM.m seperable.mat SOHC.m spiral.mat start_classify.m Stochastic_SA.m Store_Grabbag.m Stumps.m SVM.m voronoi_regions.m Voted_Perceptron.m XOR.mat readme.txt other\Bayesian_Belief_Networks.m other\Bayesian_parameter_est.m other\Bayes_belief_net.mat other\Bottom_Up_Parsing.m other\Boyer_Moore_String_Matching.m other\contents.m other\demo_fun.m other\Edit_Distance.m other\gradient_descent.m other\Grammatical_Inference.m other\high_histogram.m other\HMM_Backward.m other\HMM_Boltzmann.m other\HMM_Decoding.m other\HMM_Evaluation.m other\HMM_Forward.m other\HMM_Forward_Backward.m other\HMM_generate.m other\mean_bootstrap.m other\mean_jackknife.m other\MultipleDiscriminantAnalysis.m other\Naive_String_Matching.m other\Newton_descent.m other\ROCC.m other\sample_hmm.mat other\Stochastic_Regression.m other\sufficient_statistics.m other 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_with_DF.m Components_without_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 find_classes.m FindParameters.m FindParameters.mat FindParametersFunctions.m FishersLinearDiscriminant.m fuzzy_k_means.m GaussianParameters.m GaussianParameters.mat generate_data_set.m Genetic_Algorithm.m Genetic_Culling.m Genetic_Programming.m Gibbs.m HDR.m high_histogram.m Ho_Kashyap.m ICA.m ID3.m Infomat.m Interactive_Learning.m k_means.m Kohonen_SOFM.m Koller.m Leader_Follower.m LMS.m load_file.m Local_Polynomial.m LocBoost.m LocBoostFunctions.m loglikelihood.m LS.m LVQ1.m LVQ3.m make_a_draw.m Marginalization.m MDS.m min_spanning_tree.m Minimum_Cost.m ML.m ML_diag.m ML_II.m multialgorithms.m multialgorithms.mat multialgorithms_commands.m Multivariate_Splines.m NDDF.m Nearest_Neighbor.m NearestNeighborEditing.m NLPCA.m None.m Optimal_Brain_Surgeon.m Parzen.m PCA.m