文件名称:moshishibie
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模式识别的好东西，很多算法源码，很有用，都能运行-Image processing, the choice of the job, write your own, you can see, can run
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| 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 |