文件名称:Pattern-Classification

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  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2016-04-12
  • 文件大小:
  • 365kb
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  • 0次
  • 提 供 者:
  • t***
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数据挖掘必备,matlab源码,模式识别多种分类器汇总,测试均能通过-Pattern Classification 2nd edition (Matlab code)
(系统自动生成,下载前可以参看下载内容)

下载文件列表





模式分类(Matlab程序)\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

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

......................\LVQ3.m

......................\make_a_draw.m

......................\Marginalization.m

......................\MDS.m

......................\Minimum_Cost.m

..............

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