搜索资源列表
C4.5算法
- 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
C4.5算法
- 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
DescionTree
- 决策树技术之ID3以及C4.5算法学习，很有用哦-decision tree technology and C4.5 ID3 algorithm learning useful oh
C45source
- C45决策树工具的源代码，及其使用说明。-Application of C45 decision tree tools of source code, and its use.
PatternRecognition
- 1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法-1.Fisher Classification Algorithm 2. Perceptron algorithm 3. Least-squares algorithm 4. Fast nearest neighbor 5.K-neighbor method 6. Clip
C4.5-2
- 数据挖掘中的c4.5算法 给予决策树-Data Mining in the given decision tree algorithm c4.5
C4_5
- 决策树C45，用matlab编写的，数据挖掘算法。-Decision Tree C45, prepared by matlab, data mining algorithms.
c4.5matlab
- c4.5 关于决策树decision tree的matlab实现程序 -c4.5 decision tree decision tree on the realization of the matlab program
matlab-C4.5
- C4.5 决策树算法源码。C4.5决策树是决策树领域的经典算法。以其为内容的书籍引用率已经达到一万次以上-C4.5 decision tree
C4_5
- C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code
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
matlab
- 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
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
C4.5决策树
- C4.5决策树的MATLAB实现。内有英文和中文混合注释(C4.5 Decision Tree It has English and Chinese Both Zhu Shi)
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
C4_5
- 决策树分类算法C4.5的matlab代码实现，可返回训练集和测试集的结果，有详细注释(classification tree)
决策树C4.5算法matlab源代码(完美运行)
- 可以完美的实现用于统计学习的算法C4.5分类，完整的matlab程序(Classification of algorithm C4.5 for statistical learning)
C4.5
- 使用matlab实现C4.5决策树算法核心(Implementing the Core of C4.5 Decision Tree Algorithms with MATLAB)
matlab实现的C4.5分类决策树算法
- C4.5决策树分类算法，用于进行数据分类(Classification algorithm)