搜索资源列表
92
- 本代码是用java语言编写的基于决策树c4.5算法的数据挖掘程序，它可以在很多领域如股票系统中使用 -the code is written in java-based Decision Tree Algorithm Bank data mining process, it can in many areas such as the use of the stock system
决策树c4.5-r8的windows版本
- 用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.
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
C4.5java
- 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!
c4.5.rar
- 通过C4.5 的实现可以进行构建决策树 来进行有效的分类,Through the realization of C4.5 decision tree can be constructed to carry out an effective classification
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
C45.rar
- C4.5决策树的应用,c45是数据挖掘中重要的决策工具,C4.5 decision tree application
c4.5
- 决策树关联规则比较经典的算法，通常一下大型的应用项目使用，因为其稳定，实用！-Comparison of the classical association rules decision tree algorithm, usually about the use of large-scale application projects, because of its stability, and practical!
c4.5ID3
- 决策树算法 里面包含c4.5 ID3算法的源代码-c4.5 id3
matlab
- 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
c4.5matlab
- c4.5 关于决策树decision tree的matlab实现程序 -c4.5 decision tree decision tree on the realization of the matlab program
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
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
DTree-C4.5
- ID3 决策树的实现 数据挖掘 Dtree4.5-ID3 decision tree data mining Dtree4.5
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
c_c4.5
- 数据挖掘-决策树c4.5的c语言代码实现-Data mining- a decision tree c4.5 c language code
C4.5
- 数据挖掘分类算法决策树C4.5数据挖掘分类算法决策树C4.5-data mining C4.5
决策树与随机森林
- 给出对决策树与随机森林的认识。主要分析决策树的学习算法：信息增益和ID3、C4.5、CART树，然后给出随机森林。 决策树中，最重要的问题有3个: 1. 特征选择。即选择哪个特征作为某个节点的分类特征； 2. 特征值的选择。即选择好特征后怎么划分子树； 3. 决策树出现过拟合怎么办？ 下面分别就以上问题对决策树给出解释。决策树往往是递归的选择最优特征，并根据该特征对训练数据进行分割。(The understanding of decision tree and random
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)
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)