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.rar
- 决策树C45，用matlab编写的，数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
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
matlab
- 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
C4_5
- matlab源代码 C4.5决策树算法的matlab实现-C4.5
C4_5
- C4.5决策树源代码，直接是matlab源代码-C4.5 decision tree source code matlab source code is directly
C4_5
- matlab实现决策树C4.5算法,首先利用训练数据创建决策树，再用测试数据对决策树进行剪枝。-C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning.
C4_5
- 应用Matlab工具编写程序进而实现决策树C4.5分类算法-Use Matlab to make desicion tree
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 the MATLAB simulation code, th
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)
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)