文件名称:mitmatlab
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 646kb
- 下载次数：
- 0次
- 提 供 者：
- zhangj******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
能够实现几种经典的分类算法（ID3，C4.5等）-It can inmplement several classic classification algrorithm(ID3，C4.5,etc.)
相关搜索： id3
matlab
ID3
Matlab
C4
5
matlab
c4
5
toolbox
matlab
id3
c4
5
MATLAB
c4
5
Marginalization
matlab
matlab
ID3
Matlab
C4
5
matlab
c4
5
toolbox
matlab
id3
c4
5
MATLAB
c4
5
Marginalization
matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mitmatlab（分类）\mitmatlab\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
.................\.........\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
.................\.........\index(1).htm
.................\.........\index.htm
.................\.........\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
.................\..
.................\.........\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
.................\.........\index(1).htm
.................\.........\index.htm
.................\.........\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
.................\..