模式识别matlab工具箱

时间:2014-05-18 10:58:55
【文件属性】:
文件名称:模式识别matlab工具箱
文件大小:632KB
文件格式:RAR
更新时间:2014-05-18 10:58:55
matlab 模式识别 模式识别matlab工具箱 \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_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 .............................\HDR.m .............................\high_histogram.m .............................\Ho_Kashyap.m .............................\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

网友评论

  • 工具很全面,慢慢消化吧
  • 代码不错,可以慢慢看
  • 内容不错,有些没用到的没怎么看,用到的几个还比较好,写得挺简单实用
  • 非常全,多点注释就好了
  • 不错,但对初学者有点困难
  • 可以用,还不错,希望能给说明,外行难懂
  • 谢了,很好用
  • 很好用!谢谢!菜鸟初飞很需要这些东西的!
  • 多谢分享,还是比较有用的
  • 内容很全的,多谢分享
  • 东西很全,但说明不够清楚,比较难理解如何使用。。。