搜索资源列表
tree
- 决策树算法的matlab实现,主要适用的是id3 算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking
decision+tree
- 决策树,很经典,不是一般的经典,你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it
mill
- 包含了很多分类算法,有SVM,knn,决策树等,还有文档说明-Contains a lot of classification algorithms, there is SVM, knn, decision tree and so on, have documented
jueceshu
- 决策树的matlab 程序代码 非常好用 适合初学者-Matlab code decision tree is very useful for beginners
CART
- 决策树算法的CART算法,用MATLAB编写,能有,不错的。-CART decision tree algorithm algorithm, using MATLAB to prepare, to have, good.
SLIQ
- SLIQ数据挖掘算法,使用c++实现,使用SLIQ算法,用信息熵的方法作为决策树节点列策略-SLIQ data mining algorithms using c++ implementation
ID3
- 决策树算法 经典的ID3算法 用于决策树规则学习等等 在规则学习以及分类中有重要的作用-classic decision tree mode for classification and rule learning
1
- 论述了医学图像挖掘在计算机辅助诊断中的作用,提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法,介绍 了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析,给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
determinetree
- 自己编的一段小程序,绘制交通事故的预测决策树。-a small section of procedures for drawing traffic forecast decision tree.
ID3(MATLAB)
- 使用MATLAB语言完成的决策树算法。 里面有详细说明-Using the MATLAB language to complete the decision tree algorithm. Details inside
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)
id3决策树
- 一个很好的关于决策树的算法matlab实现,由详细注释,易懂。(A good decision tree algorithm, matlab implementation, by detailed notes, easy to understand.)
决策树
- 决 策 树 模 型决策树(Decision Tree)是在已知各种情况发生概率的基础上,通过构成决策树来求取净现值的期望值大于等于零的概率,评价项目风险,判断其可行性的决策分析方法,是直观运用概率分析的一种图解法。(The decision tree (Decision Tree) is the basis of probability in the known situations, through the form of decision tree to calculate
决策树
- 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)
决策树
- 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)
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-rrt-variants
- 使用rrt随机决策树进行3d路径规划,效果很好(3-D Path Planning Using Random Decision Tree)
决策树
- ID3决策树的matlab代码实现,欢迎下载查看并交流(matlab realization of ID3 algorithm)
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)