matlab分类算法代码,实现几种经典的分类算法(ID3,C4.5等)

mitmatlab(分类)

mitmatlab

ADDC.m

AGHC.m

About.bmp

Ada_Boost.m

BIMSEC.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

C4_5.m

CART.m

CARTfunctions.m

Cascade_Correlation.m

Chernoff.m

Classification.txt

Competitive_learning.m

Components_with_DF.m

Components_without_DF.m

DSLVQ.m

Deterministic_Boltzmann.m

Deterministic_SA.m

Deterministic_annealing.m

Discrete_Bayes.m

Discriminability.m

EM.m

Feature_selection.txt

FindParameters.m

FindParameters.mat

FindParametersFunctions.m

FishersLinearDiscriminant.m

GaussianParameters.m

GaussianParameters.mat

Genetic_Algorithm.m

Genetic_Culling.m

Genetic_Programming.m

Gibbs.m

HDR.m

Ho_Kashyap.m

ICA.m

ID3.asv

ID3.m

Infomat.m

Interactive_Learning.m

Kohonen_SOFM.m

Koller.m

LMS.m

LS.m

LVQ1.m

LVQ3.m

Leader_Follower.m

LocBoost.m

LocBoostFunctions.m

Local_Polynomial.m

MDS.m

ML.m

ML_II.m

ML_diag.m

Marginalization.m

Minimum_Cost.m

Multivariate_Splines.m

NDDF.m

NLPCA.m

NearestNeighborEditing.m

Nearest_Neighbor.m

None.m

Optimal_Brain_Surgeon.m

Other

Bayes_belief_net.mat

Bayesian_Belief_Networks.m

Bayesian_parameter_est.m

Bottom_Up_Parsing.m

Boyer_Moore_String_Matching.m

Edit_Distance.m

Grammatical_Inference.m

HMM_Backward.m

HMM_Boltzmann.m

HMM_Decoding.m

HMM_Evaluation.m

HMM_Forward.m

HMM_Forward_Backward.m

HMM_generate.m

MultipleDiscriminantAnalysis.m

Naive_String_Matching.m

Newton_descent.m

ROCC.m

Stochastic_Regression.m

_D=A

_M=A

_N=D

_S=A

contents.m

demo_fun.m

gradient_descent.m

high_histogram.m

index.htm

mean_bootstrap.m

mean_jackknife.m

sample_hmm.mat

sufficient_statistics.m

PCA.m

PNN.m

Parzen.m

Perceptron.m

Perceptron_BVI.m

Perceptron_Batch.m

Perceptron_FM.m

Perceptron_VIM.m

Pocket.m

Preprocessing.txt

Projection_Pursuit.m

RBF_Network.m

RCE.m

RDA.m

Relaxation_BM.m

Relaxation_SSM.m

SOHC.m

SVM.m

Stochastic_SA.m

Store_Grabbag.m

Stumps.m

User guide.pdf

Voted_Perceptron.m

XOR.mat

_D=A

_M=A

_N=D

_S=A

calculate_error.m

calculate_region.m

chess.mat

classification_error.m

classifier.m

classifier.mat

classifier_commands.m

click_points.m

clouds.mat

contents.m

decision_region.m

enter_distributions.m

enter_distributions.mat

enter_distributions_commands.m

feature_selection.m

feature_selection.mat

feature_selection_commands.m

find_classes.m

fuzzy_k_means.m

generate_data_set.m

high_histogram.m

index(1).htm

index.htm

k_means.m

load_file.m

loglikelihood.m

make_a_draw.m

min_spanning_tree.m

multialgorithms.m

multialgorithms.mat

multialgorithms_commands.m

plot_process.m

plot_scatter.m

predict_performance.m

process_params(1).m

process_params.m

read_algorithms.m

seperable.mat

spiral.mat

start_classify.m

voronoi_regions.m

read.txt

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