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c4.5算法数据(VC VERSION)
- 数据挖掘c4.5算法（vc语言版本）欢迎大家下载测试！！！！ - The data mining c4.5 algorithm (vc language edition) welcome everybody downloading test! ! ! !
C4.5算法
- 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
c4.5-win
- windows操作系统下的决策树分类算法工具包，经典的C4.5算法实现，功能巨强大！-windows operating system under the decision tree classification algorithm tool kit, the classical algorithm C4.5, functional Giant powerful!
C4.5-C
- 这是数据挖掘分类算法中的C4.5算法的C实现版本，为Linux下的，希望对大家有所帮助。-This is the classification of data mining algorithms to the C4.5 algorithm to achieve the C version of Linux. We want to help.
C4.5算法源程序
- C4.5算法进行决策树生成 以信息增益最大的属性作为分类属性，生成决策树，从而得出决策规则。-C4.5 decision tree algorithms to generate information gain the greatest attribute as a classification attributes, generate decision tree, and came to decision-making rules.
c4.5.rar
- 决策树c4.5算法的c++实现 希望对大家有用,C4.5 decision tree algorithm c++ to achieve useful for all of us hope
C4.5.rar
- Quinlan s C4.5 算法的实现-the implementation of C4.5 [教學文件],Quinlan s C4.5 algorithm-the implementation of C4.5 [Teaching documents]
C4.5
- 决策树算法C4.5源码, The directory Data contains some sample datasets. Many interesting data collections are maintained by the University of California, Irvine, in a data repository-C4.5 decision tree algorithm source, The directory Data contains so
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
C4.5_New
- c4.5算法的实现及调用说明，包括参考文献 和网络上的一些论文-Implementation of c4.5 algorithm and the instruction to use it
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_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
C4_5
- C4.5算法，优秀的决策树算法，由于求解特征分类问题(C4.5 algorithm, an excellent decision tree algorithm, especially for the problem of feature classification)
08060888
- 实现了C4.5算法的全部功能，并包括设计文档和源程序。(It implements all the functions of the C4.5 algorithm and includes the design of documents and source programs.)
C4.5
- python实现的C4.5算法，也是数据挖掘的基础算法(C4.5 algorithm implemented by python, which also the basic algorithm of data mining)
c4.5
- python编写的c4.5算法实现，含数据读入和正确率计算，非常直观，含代码注解(The implementation of the C4.5 algorithm written by python, which contains data reading and correct rate calculation, is very intuitive and contains code annotation.)
c4.5
- C4.5是一系列用在机器学习和数据挖掘的分类问题中的算法。C4.5的目标是通过学习，找到一个从属性值到类别的映射关系，并且这个映射能用于对新的类别未知的实体进行分类。(C4.5 is a series of algorithms used in machine learning)
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)
C4.5
- 使用matlab实现C4.5决策树算法核心(Implementing the Core of C4.5 Decision Tree Algorithms with MATLAB)
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)