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在matlab中实现ID3决策树算法--matlab源码-In the ID3 decision tree algorithm implemented in matlab- matlab source
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MATLAB 决策树算法 ID3算法 能输出决策图分析误差-MATLAB ID3 decision tree algorithm can output decision diagram analysis error
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Matlab环境下用于数据挖掘的决策树算法源代码，CART算法-Matlab environment for data mining decision tree algorithm source code, CART algorithm
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MATLAB编写的基于决策树的ID3算法实现，模式识别，人脸识别。压缩包中包含两个源文件和测试图片，ID3源文件为主代码，fi为求熵函数。-MATLAB prepared based on the ID3 decision tree algorithm, pattern recognition, face recognition. Compressed package contains two source files and test images, ID3-based source code
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c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
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实现ID3 决策树算法，并使用MATLAB自带的工具箱函数画出决策树生成相应的规则-Achieve ID3 decision tree algorithm, and using MATLAB toolbox function that comes with the decision tree to generate the appropriate rules to draw
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决策树ID3算法的MATLAB程序，这里采用信息增益的方法.-MATLAB program of Decision Tree Algorithm ID3，by the information gain.
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基于matlab开发平台的决策树的实现，该算法比较精良容易懂。-the realization of decision tree：Implementation of decision tree based on MATLAB development platform, the algorithm is relatively good
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MATLAB下的决策树ID3算法，应用信息增益来划分节点-ID3 decision tree algorithm under MATLAB application information gain to divide the node
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机器学习的决策树算法，matlab编写。适合初学者对决策树算法有初步的认识。-Decision Tree Algorithm machine learning, matlab prepared. Suitable for beginners to have a preliminary understanding of the decision tree algorithm.
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This file contains matlab code for c4.5 decision tree code, which is used to study id3 algorithm based machine learning code
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see matlab code for decision tree and knn algorithm , enjoy ,
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使用matlab实现id3决策树算法，给出使用方法及举例，并附带相关测试集合。
-Using ID3 to achieve the MATLAB decision tree algorithm, given the use of methods and examples, and with the relevant test set.
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用matlab编写的CART数据挖掘决策树算法 很好的 可以-Matlab prepared by the CART decision tree data mining algorithm is very good
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几种基于Matlab的分类算法研究（自组织神经网络，SOM神经网络，LVQ神经网络，决策树，随机森林算法）-Several classification algorithm based on Matlab research (self-organizing neural network, SOM neural network and LVQ neural network, decision tree, the random forest algorithm)
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用matlab编写的CART数据挖掘决策树算法 很好的 可以-Matlab prepared by the CART decision tree data mining algorithm is very good
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决策树CART算法源代码，可利用，包括make_tree和use_tree(the code of decision tree CART algorithm including make_tree and use_tree)
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数据处理中经常使用决策树算法，在MATLAB中编辑决策树算法(Decision tree algorithm is often used in data processing, and the decision tree algorithm is edited in MATLAB)
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基于matlab的机器学习中决策树算法，代码很完整，都能运行(Matlab-based decision tree algorithm in machine learning, the code is complete, can run)
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本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
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