搜索资源列表
DecisionTree
- Decision Tree source code
decisionTree
- 决策树算法的实现，多余数据的类型不限，但是对数据的排版有点要求，可以参照具体的例子（文件夹中）。-The decision tree algorithm, any type of redundant data, but the layout of the data bit, you can refer to specific examples (folder).
DecisionTree
- CART决策树 python 代码，思想来自Programming Collective Intelligence。未剪枝。数据来自the census bureau database。-CART decision tree python code, thoughts from Programming Collective Intelligence. Not pruning. The data from the census bureau database.
DecisionTree
- ID3 人工智能，机器学习算法，自动生成决策树-ID3 artificial intelligence, machine learning algorithms, automatically generate decision trees
DecisionTree
- 决策树算法。 数据写在Test文件里。 Attribute可以更改，以适应不同的要求。-The decision tree algorithm. The data is written in the Test file. Attribute can be changed to suit different requirements.
DecisionTree
- 决策树的简单实现，使用ID3作为属性度量选择，测试数据为Jiawei Han数据挖掘书本第六章购物篮数据-Simple implementation of the decision tree using ID3 as an attribute metric selection, test data Jiawei Han data mining the the books Chapter VI basket data
DecisionTree
- 决策树的经典C4.5算法，基于VS2010，对学习人工智能的同学有帮助-C4.5 decision tree algorithm, based on VS2010
DecisionTree
- python编写的决策树的代码，主要用于模式识别和机器学习领域，-an example containing the program code for decision tree in python
decisionTree
- 简单的人工智能程序源码，很有效的帮助理解人工智能中决策树模型的工作方式及原理。-Simple artificial intelligence program source code, very effective to help understand the work and principles of artificial intelligence in the decision tree model.
DecisionTree
- 借助于已有数据挖掘算法，实现决策树算法，对酒的品质进行划分。-By means of the existing data mining algorithms, decision tree algorithm, to be divided on the quality of the wine.
DecisionTree
- 利用ID3算法，实现决策树的源码。可以在VS2008环境下直接运行。-Use ID3 algorithm, the source tree. VS2008 environment can be run directly.
DecisionTree
- 清楚显示出项目所有可供选择的行动方案，行动方案之间的关系，行动方案的后果，后果发生的概率，以及每种方案的损益期望值；使纷繁复杂的决策问题变得简单、明了，并且有理有据；用数据说话，形成科学的决策，避免单纯凭经验、凭想象而导致的决策上的失误。-Clearly shows all options for the project action plan, the relationship between the action program, the consequences of action pro
DecisionTree-(2)
- 决策树，根据训练集的分类结果预测测试集的分类结果，在计算机视觉和模式识别中很有用-Decision tree , test set according to the classification results of the training set, is very useful in computer vision and pattern recognition
decisiontree
- 决策树的matlab实现,包含训练和测试-Decision Tree matlab implementation
DecisionTree
- 该资源是决策树算法。从“样本特征说明”读取属性，从“样本数据”读取各属性值。 依次取20 —80 （每次递增10 ）的样本作为训练集，剩余样本作为测试集测试。-This resource is about decision tree algorithm. The attributes and values can be read by the code from the two txt files. Each time choose a portion of all the data (20
DecisionTree
- C++编写的C4.5决策树程序，为数据挖掘基础算法。 网址为:http://www.cnblogs.com/michaelGD/archive/2012/11/14/2770758.html-C++ written C4.5 decision tree program, the foundation for the data mining algorithms. Site at: http://www.cnblogs.com/michaelGD/archive/2012/11/14/277
JAVA-decisiontree
- 本程序由Java编写，运行前请确认您的电脑上已安装JDK1.7或以上版本并配置好JDK的系统环境变量。请使用Eclipse集成开发导入源代码-The Algorithm of Decision Trees: ID3 and C4.5
Decisiontree
- 实现基本功能的决策树分类算法，可以对连续变量进行处理，能显示生成的决策树。-Basic functions of decision tree classification algorithm for continuous variables can be processed to show the resulting decision tree.
DecisionTree
- c#写的决策树，适合初学者学习，很不错的学习资料-c# write tree
ID3-Matlab
- decisiontree implementation in matlab