搜索资源列表
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
r8
- 用C++实现的决策树，其中有一个readme文件，希望大家能够好好阅读 -decision tree
ID3
- 人工智能实验，ID3决策树源码，在VC下环境下开发-Artificial intelligence experiments, ID3 decision tree source code, under the circumstances developed in VC
InductionofDecisionTrees
- 模式识别中多类分类问题决策树间接Induction of Decision Trees-Pattern Recognition in many types of decision tree classification of indirect Induction of Decision Trees
1
- D3的源码决策树最全面最经典的版本.id3决策树的实现及其测试数据.id3 一个有用的数据挖掘算法，想必对大家会有所帮助！id3算法进行决策树生成 以信息增益最大的属性作为分类属性，生成决策树，从而得出决策规则。-D3 of the source tree the most comprehensive version of the most classic. Id3 decision tree and its test data. Id3 a useful data mining algorit
CART
- 此为机器学习算法中的决策树方法之一CART，也是决策树的基本算法-This is the machine learning algorithm, one of the decision tree method CART, is the basic decision tree algorithm
shujuwajuelunwen
- 这是数据挖掘的论文 关于决策树的 有测试集-This is the thesis of data mining on a test set of the decision tree
C5DTree
- C5决策树生成。主要完成C5决策树的构成，并能显示查看决策树，并转化为IF-THEN的决策规则，并能计算错误率-C5 decision tree generated
UncertainDataClassfication
- 数据挖掘决策树，用于非确定性数据的分类，参照国际论文写的-decision tree for uncertain data
decisiontree
- 决策树算法程序，用于分类 使用的数据集为合成标签数据集-failed to translate
GDSS
- MATLAB的空间决策支持系统 MATLAB的空间决策支持系统-MATLAB MATLAB spatial decision support system for spatial decision support system
Decision_making_tree
- 机器学习课本中的未剪枝决策树代码实现，可以直接运行，自行根据书中（西瓜书）表进行建表，输出结果为层次遍历。(Machine learning textbooks do not prune decision tree code, you can run directly, according to the book (watermelon book) table built table, the output results for the hierarchical traversal.)
02 多属性决策模型
- 介绍多属性决策模型可以的解决问题，解决分类问题(The problem of multi-attribute analysis is introduced to solve the classification problem)
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
- 决策树id3算法matlab代码，已调试，根据需要改写main函数，实现数据分类功能(code for decision tree)
pres
- 三种分类器：决策树分类器，k-NN分类器和k-means分类器的运行时间以及运行准确率的比较。(Three kinds of classifiers: decision tree classifier, k-NN classifier and K-means classifier running time and accuracy comparison.)
决策树
- 模式识别中决策树cart的实现 代码简单 比较好用(pattern recognition decision tree)
决策树
- 利用R语言实现决策树，使用 party 包构建决策树，使用 rpart 包构建决策树，以及随机森林的构建(using R language analyizing ...)
ID3决策树
- Java实现用ID3算法构建决策树(Java implementation using ID3 algorithm to build decision tree)
决策树分类代码
- 本代码基于MATLAB平台完成，对图像进行相应的决策树分类(This code is based on the MATLAB platform, for the corresponding decision tree classification)