搜索资源列表
PROGRME
- 数据挖掘，分类算法，ID3算法，VB实现，VS2008平台-Data mining, classification algorithm, ID3 algorithm, VB implementation, VS2008 Platform
id3
- 实现决策树的id3算法，还有其他的算法在里面。-Id3 decision tree algorithm to achieve, there are other algorithms in it.
ID3
- 自己实现的ID３算法，可以对连续变量进行离散化操作-Own implementation of ID3 algorithm to discretize the continuous operation of the variable
ID3
- 算法在医生分类规则挖掘中的应用研究，以及一个简单的应用。-id3 data
ID3(MATLAB)
- ID3决策树算法，实现不同条件下数据的分类-ID3 decision tree algorithm, the classification of data under different conditions
ID3
- ID3算法是数据挖掘中常用的算法，属于决策树分类算法，其分类速度较快，尤其对于大规模数据。-ID3 algorithm is commonly used in data mining algorithms, decision tree classification algorithm is, the classification speed, especially for large-scale data.
id3
- ID3决策树算法的实现，3个测试用例，源码以及程序-ID3 decision tree algorithm, three test cases, source code and program
ID3-cPP
- 决策树算法，ID3的C++源码，比较简单，希望对大家有用。-Decision tree algorithm, ID3 to C++ source code is relatively simple, and I hope useful.
DecisionTree
- 实现决策树ID3算法，测试成功，可以直接使用-ID3 decision tree algorithm to achieve, the test is successful, can be used directly
ID3
- 用C++实现的ID3算法，用UCI数据测试-It implements the ID3 using C++,and use the UCI data to test.
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.
ID3
- 数据挖掘 分类算法中 决策树ID3算法的c#实现-Data mining decision tree classification algorithm ID3 algorithm c# to achieve
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
id3
- 数据挖掘分类算法——决策树id3算法，c++实现-Data mining classification algorithms- id3 decision tree algorithm, c++ implementation
ID3
- MATLAB 实现ID3算法-ID3 algorithm in MATLAB
ID3
- MATLAB 决策树算法 ID3算法 能输出决策图分析误差-MATLAB ID3 decision tree algorithm can output decision diagram analysis error
Id3
- 数据挖掘的决策树老鼻祖ID3算法java实现-ID3 algorithm
ID3
- matlab实现机器学习中ID3算法，function D = ID3(train_features, train_targets, params, region)-function D = ID3(train_features, train_targets, params, region)
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 infor
ID3
- ID3算法实现，提供了该算法的简单实现，而且简洁明了。-ID3 algorithm