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classify
  • Classification:Numerical Algorithm-Artificial Intelligence - matlab
  • Development Tool:matlab
  • Sise:607 KB
  • Upload time:2011/5/26 10:54:57
  • Uploader:momotunisia
  • Download Statistics:
Description
file is usefl for classification


About.bmp

File list:
classify
.......\33D0+iTB.htm.part
.......\About.bmp
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.asv
.......\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
.......\gRUJNZ8d.htm.part
.......\HDR.m
.......\high_histogram.m
.......\Ho_Kashyap.m
.......\hs_err_pid2788.log
.......\ICA.m
.......\ID3.m
.......\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
.......\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
.......\NLPCA.m
.......\None.m
.......\Optimal_Brain_Surgeon.m
.......\Parzen.m
.......\PCA.m
.......\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
.......\synthetic.mat
.......\User guide.pdf
.......\voronoi_regions.m
.......\Voted_Perceptron.m
.......\XOR.mat
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