搜索资源列表
C4.5java
- 这是决策树C4.5算法的java版源码。希望大家能喜欢，愿共同分享！-Decision Tree Algorithm C4.5 java version of the source code. Hope you will like it is willing to share!
c45.rar
- 这是数据挖掘中c4.5分类算法的vc++源码。,This is a data mining algorithm c4.5 classification of vc++ source code.
matlab-C4
- 该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足-The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its
c4.5java
- 决策树分类算法，c4.5，java语言进行描述的-Decision tree classification algorithm, c4.5, java language described
DataCheck
- 入侵检测数据检测算法，根据C4.5源码改编-Intrusion detection data detection algorithm, in accordance with C4.5 source adaptation
c4.5suanfa
- 数据挖掘课中的一个算法c4.5决策树源码，只要有相应的测试文件就可以了-Data mining courses in a decision tree algorithm c4.5 source code, as long as the corresponding test file on it
data.txt
- C4.5算法源码，c4.5是ID3算法的改进，本资料十分全，希望对大家有帮助-C4.5 algorithm source code, c4.5 ID3 algorithm is improved, the information is very full, we want to help
Cubist
- 功能强大的决策树回归算法，是C4.5的改进版本，但在精度，速度和内存开销上均有了很大的改进。目前由rulequest公司管理，其可执行程序版本为商业版本，此GPL许可的源代码对外发布。-Powerful decision tree regression algorithm is an improved version of C4.5, but in the precision, speed and memory overhead has been greatly improved. Curren
C4.5)
- C4.5源代码,为数据挖掘中的C4.5的详细源代码，可以生成决策树-C4.5 source code, as in the C4.5 data mining details the source code, you can generate decision trees
matlabC4.5
- matlab源代码 C4.5算法 经典算法 这里有具体的操作 是为.M文件 -C4.5 algorithm matlab source code there is the classical algorithm for the specific operation. M files
C4_5
- C4.5决策树源代码，直接是matlab源代码-C4.5 decision tree source code matlab source code is directly
C4.5
- 这是决策树算法C4.5的源代码！是用vc编写的，内容比较详细。-this is a source code of C4.5 algorithm！
c4.5matlab
- 本文件包含了数据挖掘中c4.5算法的源程序代码。-This file contains the source code for data mining in c4.5 algorithm.
demo
- 数据挖掘机器学习中的决策树c4.5的实现源代码，仅供学习-Data mining machine learning to achieve the source code tree c4.5
C4.5
- C4.5 算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. C4.5算法继承了ID3算法的优点，并在以下几方面对ID3算法进行了改进： 1) 用信息增益率来选择属性，克服了用信息增益选择属性时偏向选择取值多的属性的不足； 2) 在树构造过程中进行剪枝； 3) 能够完成对连续属性的离散化处理； 4) 能够对不完整数据进行处理。 C4.5算法有如下优点：产生的分类规则易于理解，准确率较高。其缺点是：在构造树的过程中，需要对数据集进行多次的顺序扫描
J48
- J48算法源代码,WEKA，C4.5算法源代码-J48 algorithm source code
trees
- 机器学习中的c4.5树的源代码，经测试，可以使用-The source code tree c4.5 in machine learning, through the test, can be used
eicajgnrithms
- 数据挖掘matlab源码,包含机器学习领域中经典算法如ID3,C4 5,NN,CARD,EM等(Data mining matlab source code, including the classical algorithms in the field of machine learning, such as ID3,C4 5 NNNCARDUM, etc.)