搜索资源列表
C45source
- C45决策树工具的源代码，及其使用说明。-Application of C45 decision tree tools of source code, and its use.
DeTree
- 数据挖掘的决策树算法，C语言实现，可直接运行。-Data Mining Decision Tree Algorithm, C language and can run.
ID3.rar
- 决策树算法ID3的代码实验，编译后可直接使用的ID3代码,ID3 decision tree algorithm code experiments, compiled code can be directly used in ID3
id3
- ID3决策树算法的实现，3个测试用例，源码以及程序-ID3 decision tree algorithm, three test cases, source code and program
PCI_Code-Folder
- 《集体智慧编程》这本书的源码，里面包含数据挖掘方面的一些算法，包括遗传算法，费舍尔算法，决策树等-" The collective wisdom of programming source code of this book, which contains the data mining aspects of algorithms, including genetic algorithms, Fisher algorithm, decision tree
DSS
- delphi编制的决策支持系统，供初学者使用，用excel，以及有关决策树-delphi compiled decision support system for beginners, excel, as well as the relevant decision tree
c4.5
- 是学习决策树很好的例子，利用excel宏生成，希望能对大家有帮助。-Learning decision trees good example of the use of excel macros to generate, we hope to help.
matlab_ID3
- 决策树的ID3算法的源代码，最后是其实验数据，运行很简单！-ID3 decision tree algorithm source code, and finally the experimental data, the run is very simple!
DecisionTree
- 决策树算法实现，C4.5，挺好的实现了，大家可以下载来-Cnt main(int argc, char* argv[]){ string filename = "source.txt" DecisionTree dt int attr_node = 0 TreeNode* treeHead = nullptr set<int> readLineNum vector<int> readClumNum int deep
decision_trees
- 机器学习实战的决策树的代码，经过本来测试，而且将书中运行代码单独写了脚本代码，方便日后直接使用。-Machine learning tree code combat, after the original test, and will run the code alone wrote the book scr ipt code, to facilitate future direct use.
lenses
- 通过Python语言来创建决策树，并且用决策树来进行隐形眼镜的分类。-Python language by creating a decision tree and decision tree classification for contact lenses.
decision_tree
- 决策树分类法，可直接运行，C++编译，内含文件使用讲解。-Decision tree classification method can be run directly, C++ compiled, containing files explain.
treePlotter
- python编写的决策树算法源码，清晰易懂，而且有源数据文件-written python decision tree algorithm source code, clear and understandable, and active data file
Ch03
- Python 机器学习与实战 第三章 决策树分类问题-Python Machine Learning and practical decision tree classification Chapter III
cases-for-R
- R的一些案例,包括随机森林、支持向量机、神经网络、决策树、判别分析-some cases of randaom forest,SVM,ANN,decision trees and discriminant analisis for R
jueceshu
- 用于R 中的决策树分析问题。在决策树学习中遇到的概念，案例等问题进行探讨-use in R
08 决策树与随机森林
- 决策树和决策森林的代码，很不错，适合初学者，一起交流一起进步(The decision tree and decision forest code, very good, suitable for beginners, together with the progress of communication)
常用算法的代码
- 包括神经网络，决策树，随机森林，支持向量机等，利于初学者学习进步。