文件名称:rzcrgnition
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模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值(Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value)
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(系统自动生成,下载前可以参看下载内容)
下载文件列表
Classification.txt
Feature_selection.txt
Preprocessing.txt
UAbout.bmp
5ADDC.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
Other\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
Other\Grammatical_Inference.m
HDR.m
high_histogram.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
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
Other\mean_jackknife.m
min_spanning_tree.m
Minimum_Cost.m
ML.m
ML_diag.m
Feature_selection.txt
Preprocessing.txt
UAbout.bmp
5ADDC.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
Other\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
Other\Grammatical_Inference.m
HDR.m
high_histogram.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
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
Other\mean_jackknife.m
min_spanning_tree.m
Minimum_Cost.m
ML.m
ML_diag.m
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