详细说明：模式分类（杜达）（第二版）电子书 及原书中的代码。绝对值得永久收藏。

 近期下载过的用户:  celeneyang 朱小明 zhutao 肖克 [查看上载者sheldon0的更多信息]

 相关搜索: 模式分类 

 [Classification-MatLab-Toolbox.rar] - 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
 [icalab.rar] - ICA:独立分量分析，基于MATLAB语言
 [MATLABArsenal.zip] - 一个matlab的工具包,里面包括一些分类器 例如 KNN KMEAN SVM NETLAB 等等有很多.
 
 [WebSite1.rar] - 基于ASP.NET语言设计的一个个人网站, 麻雀随小，五官具全！ 希望对你有帮助！
 [diameter.rar] - 提供对diameter消息,avp的封装解析功能的工具类，很方便
 [sjwl.rar] - 模糊神经网络设计，应用神经网络的一个实例
 [GUI_MSVM.rar] - 一个完整的具有图形操作界面的支持向量机模式识别的实验系统.全部用Matlab实现,可以实现多种分类识别. 这是本人的毕业设计的附属程序
 [bayescode2.rar] - 模式识别中贝页斯分类器的MATLAB实现，且用不同颜色标记了分类点和错分点
 [feature-tracking.rar] - 一个用于电子显微镜下运动细胞的识别跟踪的源代码，出自哈佛医学院的一位教授，对于做物体运动识别估计的各位很有帮助！
 [Classification_toolbox.part01.rar] - 好不容易才找到，《模式分类》第二版的配套的Matlab源代码,可配套站内的《模式分类》第二版一起使用。

文件列表(点击判断是否您需要的文件):
  模式分类（杜达）（第二版）
  ..........................\Classification_toolbox
  
  ..........................\......................\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
  ..........................\......................\Classification.txt
  ..........................\......................\classification_error.m
  ..........................\......................\classifier.m
  ..........................\......................\classifier.mat
  ..........................\......................\classifier_commands.m
  ..........................\......................\classify_paramteric.m
  ..........................\......................\click_points.m
  ..........................\......................\combinations.m
  ..........................\......................\Competitive_learning.m
  ..........................\......................\Components_without_DF.m
  ..........................\......................\Components_with_DF.m
  ..........................\......................\contents.m
  ..........................\......................\datasets
  ..........................\......................\........\chess.mat
  ..........................\......................\........\clouds.mat
  ..........................\......................\........\DHSchapter10.mat
  ..........................\......................\........\DHSchapter2.mat
  ..........................\......................\........\DHSchapter3.mat
  ..........................\......................\........\DHSchapter4.mat
  ..........................\......................\........\DHSchapter5.mat
  ..........................\......................\........\DHSchapter6.mat
  ..........................\......................\........\DHSchapter7.mat
  ..........................\......................\........\DHSchapter8.mat
  ..........................\......................\........\DHSchapter9.mat
  ..........................\......................\........\DHS_cover.mat
  ..........................\......................\........\four_spiral.mat
  ..........................\......................\........\spiral.mat
  ..........................\......................\........\XOR.mat
  ..........................\......................\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
  ..........................\......................\Exhaustive_Feature_Selection.m
  ..........................\......................\feature_selection.m
  ..........................\......................\feature_selection.mat
  ..........................\......................\Feature_selection.txt
  ..........................\......................\feature_selection_commands.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
  ..........................\......................\Information_based_selection.m
  ..........................\......................\Interactive_Learning.m
  ..........................\......................\Kohonen_SOFM.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
  ... ...