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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
Text2
- 这是一个关于用id3算法实现决策树的源代码-This is a decision tree algorithm id3 about using the source code
test_draworb0
- 高级信息提取 基于专家知识的决策树分类：规则获取（经验总结、数据挖掘如c4.5 cart算法）、规则定义以及构建决策树 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorith
chengxu
- 决策树分类，id3算法，数据挖掘，以学生成绩为例-Decision tree classification, id3 algorithm, data mining, to student achievement, for example
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 infor
UntitledjueceshuID3
- 决策树ID3算法示例，帮助初学者，共同进步(Id3 algorithm example)
Watermelon
- 通过ID3决策树算法训练决策树规则，对西瓜的好坏进行判别(hrough the ID3 algorithm to determine the quality of watermelon)
decision_tree
- 自己用matlab实现的决策树仿真的代码，决策树代码包含ID3算法和C4.5算法，算法原理可以参照统计学习（李航著）,具体代码编写部分参照网上博客。实现结果用matlab的treelayout实现，模拟树形实现最大程度图形化还原，可以为学习相关算法的朋友提供参考。代码包含相应的主函数和两个决策树函数，具体可参考文字示意。(Reference statistics learning (Li Hang) a book to achieve
C4_5
- C4.5算法，优秀的决策树算法，由于求解特征分类问题(C4.5 algorithm, an excellent decision tree algorithm, especially for the problem of feature classification)
id3决策树
- 一个很好的关于决策树的算法matlab实现，由详细注释，易懂。(A good decision tree algorithm, matlab implementation, by detailed notes, easy to understand.)
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)
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.)
chapter28
- 机器学习的决策树问题算法matlab实现，有注释和源码(Machine learning decision tree algorithm matlab implementation, with notes and source code)
Class_8
- 介绍决策树与随机森林算法的定义及应用，包含matlab程序(This paper introduces the definition and application of decision tree and random forest algorithm, including Matlab program)
DecisionTreeID3
- ID3算法是一种贪心算法，用来构造决策树。ID3算法起源于概念学习系统（CLS），以信息熵的下降速度为选取测试属性的标准，即在每个节点选取还尚未被用来划分的具有最高信息增益的属性作为划分标准，然后继续这个过程，直到生成的决策树能完美分类训练样例。(The ID3 algorithm is a greedy algorithm, which is used to construct a decision tree. ID3 algorit
CART
- 决策树CART算法源代码，可利用，包括make_tree和use_tree(the code of decision tree CART algorithm including make_tree and use_tree)
BreastCancer
- Java实现机器学习经典分类算法，代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
ID3
- 基于matlab的决策树ID3算法，完成对数据集的分类问题(Based on matlab decision tree ID3 algorithm, the classification of data sets is completed.)
MATLAB
- 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used
数据挖掘十大经典算法
- 数据挖掘经典算法c4.5，id3，决策树等等。(Classical data mining algorithms c4.5, id3, decision tree and so on.)