详细说明:matlab分类工具箱源码,在matlab下运行可以对数据进行多种分类,并有说明文档,可以根据文档进行操作,实现分类。-classification Matlab toolbox source, Matlab can run on a variety of data classification, and documentation, according to documentation for operation, achieving classification.
相关搜索:
svm toolbox 说明文档 classification classification_toolbox matlab 分类算法 matlab Toolbox matlab matlab工具箱 matlab 分类 Classification_toolbox 采用matlab进行编程,并对分类进行了画图分析 toolbox matlab classification toolbox classification toolbox Classification-MatLab-Toolbox matlab LMS classifier
[svm_toolbox.rar] - 支持向量机工具箱,其中包含matlab演示程序和一些基本的函数(计算核函数的函数、支持向量机训练函数和参数选择交叉验证函数等)。
[yucekongzhimatlab.rar] - 本人写的预测控制仿真小程序,文件包括改变步长预测和进行辨识。
[matlab.rar] - matlab四种支持向量机工具箱.doc
[matlabz0.rar] - 数字信号处理教程_matlab释义与实现.较全面地讲述了利用MATLAB进行数字信号处理,有大量示例讲解.
[一个SVM的matlab工具箱.rar] - 一个SVM的matlab工具箱,Support Vector Machine toolbox for Matlab Version 2.51
[howtouseSVM.doc.rar] - 本文从模式识别的基本概念谈起,过渡到神经网络模式识别,逐步引入到这四种支持向量机工具箱的使用。本文适合没有模式识别基础,而又急于上手的初学者。
[ordreg.rar] - 基于matlab编写的SVM多分类算法程序
[MiniAlarm.zip] - 可以安排日程的定点小程序,属于我的MINItoolbox系列工具之一
[SVM--SVM.rar] - 支持向量机,用于分类,含训练集与测试集。里面含有六个源程序
[CART.rar] - 用matlab编写的CART数据挖掘决策树算法
[yucekongzhimatlab.rar] - 本人写的预测控制仿真小程序,文件包括改变步长预测和进行辨识。
[matlab.rar] - matlab四种支持向量机工具箱.doc
[matlabz0.rar] - 数字信号处理教程_matlab释义与实现.较全面地讲述了利用MATLAB进行数字信号处理,有大量示例讲解.
[一个SVM的matlab工具箱.rar] - 一个SVM的matlab工具箱,Support Vector Machine toolbox for Matlab Version 2.51
[howtouseSVM.doc.rar] - 本文从模式识别的基本概念谈起,过渡到神经网络模式识别,逐步引入到这四种支持向量机工具箱的使用。本文适合没有模式识别基础,而又急于上手的初学者。
[ordreg.rar] - 基于matlab编写的SVM多分类算法程序
[MiniAlarm.zip] - 可以安排日程的定点小程序,属于我的MINItoolbox系列工具之一
[SVM--SVM.rar] - 支持向量机,用于分类,含训练集与测试集。里面含有六个源程序
[CART.rar] - 用matlab编写的CART数据挖掘决策树算法
文件列表(点击判断是否您需要的文件):

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
Classification_Toolbox.pdf
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
FishersLinearDiscriminant.m
four_spiral.mat
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

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
Classification_Toolbox.pdf
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
FishersLinearDiscriminant.m
four_spiral.mat
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