文件名称:Classification_toolbox
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matlab分类工具箱源码,在matlab下运行可以对数据进行多种分类,并有说明文档,可以根据文档进行操作,实现分类。-classification Matlab toolbox source, Matlab can run on a variety of data classification, and documentation, according to documentation for operation, achieving classification.
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下载文件列表
压缩包 : 17869304classification_toolbox.zip 列表 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 Classification_Toolbox.pdf 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 four_spiral.mat 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 Kohonen_SOFM.m Koller.m k_means.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 Minimum_Cost.m min_spanning_tree.m ML.m ML_diag.m ML_II.m multialgorithms.m multialgorithms.mat multialgorithms_commands.m Multivariate_Splines.m NDDF.m NearestNeighborEditing.m Nearest_Neighbor.m NLPCA.m None.m Optimal_Brain_Surgeon.m Other/ 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 Parzen.m PCA.m 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 synthetic.mat User guide.pdf voronoi_regions.m Voted_Perceptron.m XOR.mat