文件名称:moslbox-interface-intuitive
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classification_matlab_toolbox分类方法工具箱,有界面很直观-Classification_matlab_toolbox classification toolbox, intuitive interface,,
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下载文件列表
kClassification_toolbox\Classification.txt
.......................\Feature_selection.txt
.......................\Preprocessing.txt
.......................\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
.......................\Other\Bayesian_Belief_Networks.m
.......................\Bayesian_Model_Comparison.m
.......................\Other\Bayesian_parameter_est.m
.......................\Bhattacharyya.m
.......................\BIMSEC.m
.......................\Other\Bottom_Up_Parsing.m
.......................\.....\Boyer_Moore_String_Matching.m
.......................\C4_5.m
.......................\calculate_error.m
.......................\calculate_region.m
.......................\CART.m
.......................\CARTfunctions.m
.......................\Cascade_Correlation.m
.......................\Chernoff.m
.......................\classification_error.m
.......................\classifier.m
.......................\classifier_commands.m
.......................\click_points.m
.......................\Competitive_learning.m
.......................\Components_with_DF.m
.......................\Components_without_DF.m
.......................\Other\contents.m
.......................\contents.m
.......................\decision_region.m
.......................\Other\demo_fun.m
.......................\Deterministic_annealing.m
.......................\Deterministic_Boltzmann.m
.......................\Deterministic_SA.m
.......................\Discrete_Bayes.m
.......................\Discriminability.m
.......................\DSLVQ.m
.......................\Other\Edit_Distance.m
.......................\EM.m
.......................\enter_distributions.m
.......................\enter_distributions_commands.m
.......................\feature_selection.m
.......................\feature_selection_commands.m
.......................\find_classes.m
.......................\FindParameters.m
.......................\FindParametersFunctions.m
.......................\FishersLinearDiscriminant.m
.......................\fuzzy_k_means.m
.......................\GaussianParameters.m
.......................\generate_data_set.m
.......................\Genetic_Algorithm.m
.......................\Genetic_Culling.m
.......................\Genetic_Programming.m
.......................\Gibbs.m
.......................\Other\gradient_descent.m
.......................\.....\Grammatical_Inference.m
.......................\HDR.m
.......................\high_histogram.m
.......................\Other\high_histogram.m
.......................\.....\HMM_Backward.m
.......................\.....\HMM_Boltzmann.m
.......................\.....\HMM_Decoding.m
.......................\.....\HMM_Evaluation.m
.......................\.....\HMM_Forward.m
.......................\.....\HMM_Forward_Backward.m
.......................\.....\HMM_generate.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
.......................\Other\mean_bootstrap.m
.......................\.....\mean_jackknife.m
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