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pattern_classification_toolbox

  • Category : Graph Recognize
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  • Update : 2008-10-13
  • Size : 345.74kb
  • Downloaded :0次
  • Author :liu ****
  • About : liu yang
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Introduction - If you have any usage issues, please Google them yourself
pattern classification of a toolbox, Matlab language, pattern recognition related to the direction of useful
Packet file list
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Packet : 9927394pattern_classification_toolbox.rar filelist
Perceptron.m
Perceptron_Batch.m
Perceptron_BVI.m
Perceptron_FM.m
Perceptron_VIM.m
plot_process.m
plot_scatter.m
PNN.m
Pocket.m
predict_performance.m
Preprocessing.txt
process_params.m
Projection_Pursuit.m
RBF_Network.m
RCE.m
RDA.m
read_algorithms.m
Relaxation_BM.m
Relaxation_SSM.m
seperable.mat
SOHC.m
spiral.mat
start_classify.m
Stochastic_SA.m
Store_Grabbag.m
Stumps.m
SVM.m
voronoi_regions.m
Voted_Perceptron.m
XOR.mat
readme.txt
other\Bayesian_Belief_Networks.m
other\Bayesian_parameter_est.m
other\Bayes_belief_net.mat
other\Bottom_Up_Parsing.m
other\Boyer_Moore_String_Matching.m
other\contents.m
other\demo_fun.m
other\Edit_Distance.m
other\gradient_descent.m
other\Grammatical_Inference.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
other\mean_bootstrap.m
other\mean_jackknife.m
other\MultipleDiscriminantAnalysis.m
other\Naive_String_Matching.m
other\Newton_descent.m
other\ROCC.m
other\sample_hmm.mat
other\Stochastic_Regression.m
other\sufficient_statistics.m
other
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
chess.mat
Classification.txt
classification_error.m
classifier.m
classifier.mat
classifier_commands.m
click_points.m
clouds.mat
Competitive_learning.m
Components_with_DF.m
Components_without_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
find_classes.m
FindParameters.m
FindParameters.mat
FindParametersFunctions.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
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
min_spanning_tree.m
Minimum_Cost.m
ML.m
ML_diag.m
ML_II.m
multialgorithms.m
multialgorithms.mat
multialgorithms_commands.m
Multivariate_Splines.m
NDDF.m
Nearest_Neighbor.m
NearestNeighborEditing.m
NLPCA.m
None.m
Optimal_Brain_Surgeon.m
Parzen.m
PCA.m
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