搜索资源列表
id3c
- Id3的实现求决策树算法代码 -求决策树算法代码求决策树算法代码
jess
- 在开发决策支持系统中常用到的规则库开发工具，-In the development of decision support system commonly used in the rule base to development tools,
shujuwajuelunwen
- 这是数据挖掘的论文 关于决策树的 有测试集-This is the thesis of data mining on a test set of the decision tree
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.
MachineLearning
- 机器学习经典课件，包含决策树、人工神经网络，评估假设-machine learning ppt
ahp
- 这个配合新安江模型（已上传）可以做出更好的决策支持-Xinanjiang this model can be made with better decision support
dTREE
- 经典的数据挖掘算例的代码，生成决策树，可看到生成树的规则。-Classic example of data mining code, to generate decision trees can be seen spanning tree rules.
C5DTree
- C5决策树生成。主要完成C5决策树的构成，并能显示查看决策树，并转化为IF-THEN的决策规则，并能计算错误率-C5 decision tree generated
matlab-C4.5
- C4.5 决策树算法源码。C4.5决策树是决策树领域的经典算法。以其为内容的书籍引用率已经达到一万次以上-C4.5 decision tree
weka
- weka 的决策树的实现,对数据挖掘感兴趣的可以下哦,很好的呀-if you like Dataming
juecezhichixitong_kejian
- 决策支持系统的第四、五、六章课件-Decision support systems IV, V, VI courseware ... ... ... ...
Dependency
- 基于粗糙集的条件属性对决策属性的依赖度计算函数，简单易用。-Condition attributes based on rough set dependency of decision attribute calculation functions, easy to use.
NRS_FW_FS
- 新加入条件属性对决策属性的依赖度计算函数。基于粗糙集。-The new conditions for accession to the decision attribute attribute dependency calculation functions. Based on rough sets.
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
DMST
- 这是一个数据挖掘决策树算法示例，它能通过用户指定相应的数据库，并把数据库表中的最后一列当作决策属性，这样就可以生成一颗完整的决策树-This is a decision tree data mining algorithm for example, the user can specify the appropriate databases and database tables in the last column as a decision attribute, so that you ca
jieceshu
- 有关人工智能，数据挖掘中的决策树算法的实现包括相关的测试数据-On artificial intelligence, data mining, decision tree algorithm in the implementation, including relevant test data
ID3
- 此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest-This code is a decision tree data mining of various algorithms. Getting Started as a prompt-this code is a decision tree data mining algorithms. As
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
J48cv
- 基于决策树的n则交叉验证分类器-based on decision tree cross-validation classifier.....................
Pattern_recognition4
- 张学工老师模式识别第四次作业，分别用C均值方法，分层聚类方法和非监督参数下正态分布函数估计的贝叶斯决策对身高体重二维数据进行分类。-Zhang engineering teacher fourth pattern recognition operations, respectively C-means, hierarchical clustering methods, and non-normal distribution function under the supervision of th