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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
决策树C4.5
- 决策树C4.5
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
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!
c4.5java
- 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
matlab
- 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
C4.5
- 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-r8
- quilan的决策树c4.5-r8的windows版本-quilan decision tree c4.5-r8 of the windows version
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
- c45决策树算法，其中输出结果为正确分类率、错误分类率和不可识别率，由c++编写-c45 decision tree，c++
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
c4.5
- c4.5决策树批量预测代码，将GetData函数中fallDetect.cases改成想要预测的预测集的名字，在linux下用gcc编译，将main函数中的fallDetect.tree改成你自己的决策树模型的名字，使用前必须在同一目录下放有使用c4.5训练出来的决策树-c4.5 decision tree batch prediction code, the name changed to GetData function fallDetect.cases want to predict th
C4.5
- 决策树C4.5 用于分类与预测的算法 简洁方便-decision tree C4.5 For classification and prediction algorithm Simple and convenient
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
C4_5
- 决策树分类算法C4.5的matlab代码实现，可返回训练集和测试集的结果，有详细注释(classification tree)
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)