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Text2
- 这是一个关于用id3算法实现决策树的源代码-This is a decision tree algorithm id3 about using the source code
JapaneseVowels
- 数据挖掘的应用，对数据集建立决策树，然后利用测试集中的数据判断测试。并给出最终的决策判断的正确率。-The application of data mining, decision tree on the data set, and then use the test to determine the test data set. The final decision making given the correct rate.
DTree
- 决策树算法。 决策树算法。 决策树算法。-Decision tree algorithm. Decision tree algorithm. Decision tree algorithm. Decision tree algorithm. Decision tree algorithm.
decision_tree
- 决策树是一种典型的机器学习。本文档详细介绍了决策树的建立、检测。-Decision tree is a typical machine learning. This document details the establishment of decision tree, testing.
ID3-java-
- ID3决策树算法的JAVA实现.详细的实现过程：熵值条件熵，节点选择等。-ID3 decision tree algorithm JAVA implementation. Detailed implementation process: entropy conditional entropy, the node selection.
Decision_MakingPTree
- 决策树算法案例 对于初学者掌握决策树算法有很大的帮助-Case of decision tree algorithms decision tree for beginners to master a great help
test_draworb0
- 高级信息提取 基于专家知识的决策树分类：规则获取（经验总结、数据挖掘如c4.5 cart算法）、规则定义以及构建决策树 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorithms such as c4.5 cart), definit
test_object
- 高级信息提取 基于专家知识的决策树分类 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorithms such as c4.5 cart), definitions and rules to build decision trees
chengxu
- 决策树分类，id3算法，数据挖掘，以学生成绩为例-Decision tree classification, id3 algorithm, data mining, to student achievement, for example
C4.5
- 决策树经典学习算法，C4.5算法是ID3算法的改进，加上了子树的信息，因素属性的值可以是连续量,训练例的因素属性值可以是不确定的,对已生成的决策树进行裁剪,减小生成树的规模.-Decision tree learning algorithm of C4.5 algorithm is the classic, the improved ID3 algorithm, coupled with the subtree of the information, the factor attribute v
Decision_making_tree
- 机器学习课本中的未剪枝决策树代码实现，可以直接运行，自行根据书中（西瓜书）表进行建表，输出结果为层次遍历。(Machine learning textbooks do not prune decision tree code, you can run directly, according to the book (watermelon book) table built table, the output results for the hierarchical traversal.)
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)
UntitledjueceshuID3
- 决策树ID3算法示例，帮助初学者，共同进步(Id3 algorithm example)
牙刷data
- 之前一个牙刷项目中涉及磁力计用到的东西，使用决策树生成的分类器，初级版本。(A primary version of the classifier generated by decision trees.)
trees
- 用PYTHON实现的决策树算法，简单明了，结构清晰(decision tree by python)
DicisionTree
- 决策树算法的简单实现,决策树（Decision Tree）是一种简单但是广泛使用的分类器。通过训练数据构建决策树，可以高效的对未知的数据进行分类。决策数有两大优点：1）决策树模型可以读性好，具有描述性，有助于人工分析；2）效率高，决策树只需要一次构建，反复使用，每一次预测的最大计算次数不超过决策树的深度。(A simple implementation of decision tree algorithms, decision tree (Decision Tree) is a simple b
决策树（java）variance 回归
- mllib调用决策树的java代码，希望对大家有帮助(Mllib calls the Java code of the decision tree)
IDL-decision_tree
- IDL中没有能调用决策树的函数，本程序可以调用决策树工具(d)
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
jueceshu
- 基于vc++的决策树算法，可以进行编译修改(Vc++ based decision tree algorithm, you can compile and modify)