搜索资源列表
C4_5
- 用matlab语言写的C4.5算法,用于模式分类
C45_Sun
- 常用决策树算法C4.5的实现代码。利用matlab实现。
机器学习Matlab工具箱
- 多种机器学习算法，包括ID3、C4.5、BP等
matlab-C4
- 该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足-The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its
c45
- 用matlab编程实现的数据挖掘c4.5算法，是上交的一个作业，绝对可行的。当然，还有些小瑕疵-Matlab programming with data mining c4.5 algorithm, is handed a job, absolutely feasible. Of course, there are some small flaws
C4_5
- matlab源代码 C4.5决策树算法的matlab实现-C4.5
C4_5
- c4.5经典算法，实现决策树分类功能，可以对连续数值和离散数值实现很好的分类，并有剪枝功能-c4.5 classic algorithms, to achieve the decision tree classification, can be continuous and discrete numerical values to achieve good classification, and a pruning function
C4_5
- c4.5 a classification
C4_5
- 一种关于c4.5的简单matlab编程。-A kind of simple matlab program on c4.5.
matlabC4.5
- matlab源代码 C4.5算法 经典算法 这里有具体的操作 是为.M文件 -C4.5 algorithm matlab source code there is the classical algorithm for the specific operation. M files
C4_5
- C4.5 matlab实现，机器学习和数据挖掘课程学习的经典算法-C4.5 matlab implementation
Matlab
- C4.5的matlab实现，并且进行了详细的注释，并进行了有序化处理-C4.5 matlab realize, and conducted a detailed notes, and conducted an orderly processing
c4.5-decision-tree-matlab
- 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
c4.5-code
- This file contains matlab code for c4.5 decision tree code, which is used to study id3 algorithm based machine learning code
C4.5
- C4.5算法的matlab实现，里面有标准数据集作为实例进行演示-C4.5 algorithm matlab implementation, which has a standard data set as an example to demonstrate
C4_5
- matlab decision tree c4.5
decision_tree
- 自己用matlab实现的决策树仿真的代码，决策树代码包含ID3算法和C4.5算法，算法原理可以参照统计学习（李航著）,具体代码编写部分参照网上博客。实现结果用matlab的treelayout实现，模拟树形实现最大程度图形化还原，可以为学习相关算法的朋友提供参考。代码包含相应的主函数和两个决策树函数，具体可参考文字示意。(Reference statistics learning (Li Hang) a book to achieve the MATLAB simulation code, th
random forest-matlab
- rf-随机森林：一个简单的随机森林例子，包含C4.5，ID3等多种信息熵计算过程(A simple example of random forest, including C4.5, ID3 and other information entropy calculation process)
C4_5
- 数据挖掘入门算法，用于机器学习，语言为matlab语言，是id3算法的改进(dataming The introduction of data mining algorithm for machine learning, language for MATLAB language,)
train_C4_5
- matlab编码实现C4.5算法的分类问题，完整代码(Classification of C4.5 algorithm by coding)