文件名称:class_toolbox

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maltab分类工具箱,整合了各种经典算法,在这些算法的帮助下有助于设计分类方法实验。-The classification toolbox is a list of functions for supervised and

unsupervised classification algorithms. These algorithms help design categorization

methods for experimental as well as synthetic data,
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下载文件列表





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

Classification.txt

classification_error.m

classifier.m

classifier.mat

classifier_commands.m

click_points.m

Competitive_learning.m

Components_without_DF.m

Components_with_DF.m

contents.m

User guide.pdf

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

NLCA.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

Kohonen_SOFM.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

synthetic.mat

None.m

Optimal_Brain_Surgeon.m

Parzen.m

PCA.m

Perceptron.m

Perceptron_Batch.m

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