mitmatlab

代码说明：

  matlab 的经典tool kit，来自麻省理工大学(matlab classic tool kit, from the Massachusetts Institute of Technology)

文件列表：

mitmatlab

.........\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_Culling.m
.........\Genetic_Programming.m
.........\Gibbs.m
.........\HDR.m
.........\high_histogram.m
.........\Ho_Kashyap.m
.........\ICA.m
.........\ID3.asv
.........\ID3.m
.........\index(1).htm
.........\index.htm
.........\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
.........\mitmatlab

.........\.........\Ada_Boost.m
.........\.........\ADDC.m
.........\.........\AGHC.m
.........\.........\Backpropagation_Batch.m
.........\.........\Backpropagation_CGD.m
.........\.........\Backpropagation_Quickprop.m
.........\.........\Backpropagation_Recurrent.m
.........\.........\Backpropagation_SM.m