文件名称:moshishibie-Matlab

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2013-10-18
  • 文件大小:
  • 1.29mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • zhi***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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超全的模式识别matlab程序,欢迎下载-Pattern recognition matlab
(系统自动生成,下载前可以参看下载内容)

下载文件列表





超全的模式识别Matlab源程序\PCA(matlab)\createDistMat.m

..........................\...........\dup1.mat

..........................\...........\dup2.mat

..........................\...........\fb.mat

..........................\...........\fc.mat

..........................\...........\feret.m

..........................\...........\feretGallery.mat

..........................\...........\listAll.mat

..........................\...........\pca.m

..........................\...........\Readme.txt

..........................\...........\trainList.mat

..........................\pca-svm\pca_svm_testx.m

..........................\.......\pca_svm_trainx.m

..........................\PR\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

..........................\..\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

..........................\..\GaussianParamet

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