Filename
Size
Date
8-clustering.ppt
[模式分类].Pattern_Classification_-_Richard_O_Duda
_Peter_E_Hart
_David_G_Stork_-_2Ed_-_Wiley-Interscience.pdf
《模式识别》作业要求.doc
1-introduction.ppt
2-bayes.ppt
3-parameter evaluation.ppt
4-nonparameter.ppt
5-linear classifier.ppt
6-neural network.ppt
7-feature extraction.ppt
Classification MatLab Toolbox\spiral.mat
.............................\ADDC.m
.............................\AGHC.m
.............................\load_file.m
.............................\About.bmp
.............................\make_a_draw.m
.............................\Ada_Boost.m
.............................\BIMSEC.m
.............................\feature_selection.m
.............................\Backpropagation_Batch.m
.............................\feature_selection.mat
.............................\Backpropagation_CGD.m
.............................\enter_distributions_commands.m
.............................\Backpropagation_Quickprop.m
.............................\feature_selection_commands.m
.............................\Backpropagation_Recurrent.m
.............................\find_classes.m
.............................\Backpropagation_SM.m
.............................\fuzzy_k_means.m
.............................\Backpropagation_Stochastic.m
.............................\generate_data_set.m
.............................\Balanced_Winnow.m
.............................\high_histogram.m
.............................\Bayesian_Model_Comparison.m
.............................\loglikelihood.m
.............................\Bhattacharyya.m
.............................\C4_5.m
.............................\CART.m
.............................\min_spanning_tree.m
.............................\CARTfunctions.m
.............................\multialgorithms.m
.............................\Cascade_Correlation.m
.............................\seperable.mat
.............................\Chernoff.m
.............................\multialgorithms.mat
.............................\Classification.txt
.............................\multialgorithms_commands.m
.............................\Competitive_learning.m
.............................\plot_process.m
.............................\Components_with_DF.m
.............................\plot_scatter.m
.............................\Components_without_DF.m
.............................\DSLVQ.m
.............................\predict_performance.m
.............................\Deterministic_Boltzmann.m
.............................\process_params.m
.............................\Deterministic_SA.m
.............................\read_algorithms.m
.............................\Deterministic_annealing.m
.............................\start_classify.m
.............................\Discrete_Bayes.m
.............................\voronoi_regions.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.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_P