搜索资源列表
dtview-java
- java语言实现的一个在数据挖掘中能图形化显示决策树分类结果的程序。-java language of a data mining can display graphical decision tree classification procedures.
HeartDM
- 一个含有朴素贝耶斯分类方法和决策树分类方法的源代码-a Epistemology contain simple decision tree classification methods and classification of the source code
c4.5r8
- 决策树分类算法源代码,非常优秀的数据挖掘工具包,全部使用C语言完成的-decision tree classification algorithm source code, excellent data mining tool kits, all use the C language completed
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!
5611969759
- 决策树分类的ID3算法[VC++],请大家多指教,-the ID3 decision tree classification algorithm [VC], please enlighten everyone, thank you
Cart
- 实现决策树分类训练试验。 源自c4.5,在windows下用C++实现,简洁好用。用户只需要构建好特征说明文件,并选择一些参数既可以进行试验。
jueceshur8
- 是构造决策树分类器的一种算法,它是ID3算法的扩展。ID3算法只能处理离散型的描述性属性,而此算法还能够处理描述性属性是连续型的情况。
id3matlab
- Id3是最基础的决策树分类方法,是其他决策树分类方法的基础,这个是Id3分类方法的matlab 实现
TheStudyofDecisionTreeClassifyingMethodinDataminin
- 分类知识的获取是数据挖掘要实现的重要任务之一,其核心问题是解决分类模型的构造和分类算法实现。本文以决策树分类方法中有代表性的方法C4.5为例,介绍数据挖掘中一种分类方法一决策树分类方法及其构建和应用研究。
DecisionTree
- 决策树分类,Your task for this project is to develop an system which performs a classification task with any various Decision Tree.
wajue
- 利用VC++实现决策树分类算法,已经测试过!可用
id3andc4.5javasourcecode
- 决策树分类中经典算法的ID3和C4.5代码公共包!
CTree
- 决策树分类C5.0算法的C语言实现源码!
r8
- 这是一个有关决策树分类器中C4.5算法的原程序-This is a decision tree classifiers on which the original algorithm C4.5 procedures
92 java版本
- 本程序是用java语言编写的数据挖掘分类算法中的决策树分类方法c4.5程序代码-this procedure is used java language classification of data mining algorithms decision tree classification code Bank
c4.5数据挖掘算法源代码,LINUX版本
- 本程序是用c语言编写的基于决策树分类方法的数据挖掘算法,它对测试集进行分类,挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules
C50
- 功能强大的决策树分类算法,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。-Both C4.5 and C5.0 can produce classifiers expressed either as decision trees or rulesets. In many applications, rulesets are preferred because they are simp
matlabcart
- 决策树分类法,通过决策树分类方法将数据集分类,传统的数据挖掘方法。-Decision tree classification, classification by decision tree classification data sets, the traditional data mining methods.
matlab-code
- 小波分析 图像融合 决策树分类 matlab 源代码 -fusion image, classify
libsvm-2.88-string
- SVM一个分类组件,用于分类的算法,和决策树等算法都是用于机器学习的算法-SVM