搜索资源列表
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)
Program3-RanShu
- 实现决策树算法 深度学习 。。。。。。。。。。。(decision tree learning)
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.)
tree
- 使用决策树对存储器进行分类并预测隐形眼镜类型(The classification of memory and prediction of contact lens type using decision tree)
code
- 数据归一化代码，可用于.arff类型的数据进行归一化操作和对应的决策树实现代码(Data normalization code, can be used for.Arff type data normalization operation)
决策树
- 决 策 树 模 型决策树(Decision Tree)是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。(The decision tree (Decision Tree) is the basis of probability in the known situations, through the form of decision tree to calculate
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)
51622453code
- 模式识别的第二次作业，有关使用决策树来进行男女生的分类问题。(The second job of pattern recognition involves the use of decision trees to classify male and female students.)
01决策树分类问题：预测销量高低
- 用python决策树分类问题：预测销量量的高低问题(Decision tree classification problem using Python: forecasting the volume of sales)
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)
AllElectronics
- 决策树算法，并附有相关数据集以及可视化的方法，并附有可视化的图例。(The decision tree algorithm is attached with relevant data sets and visualization methods with visual illustrations.)
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 algorithm originated from the concept
CART
- 对汽车评估的分类决策树构建,使用了常用的python的机器学习库scikit-learn(Construction of classified decision tree for automobile evaluation,Use the common Python's machine learning library scikit-learn)
Ch03
- 实现决策树的构建，在Python中使用matplotlib注解绘制(Implement the construction of the decision tree, used in Python, matplotlib annotation draw)
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)
id3决策树——new
- 这是一个ID3决策树分类的代码用于分类器的计算，大家下载类以后可以学习使用，ID3是一种比较古老的决策树，最新的有C4.5等(This is an ID3 decision tree classification code for classifier calculation, which can be used after downloading the class. ID3 is a relatively ancient decision tree, with the latest C4.5
code
- 可完成相应的SVM分类、决策树分类、图片压缩、图片重采样、中值滤波等图片处理工作(It can complete the corresponding picture processing work.)
Iris_DecisionTree
- python 鸢尾花（iris）数据分类测试程序，采用决策树方法。(Python iris flower (IRIS) data classification test program, using the decision tree method.)
decision_tree
- 以隐形眼镜为例的决策树分类算法代码，lenses.data是存放数据的文件，此代码使用python3实现(The classification algorithm code of the decision tree with the contact lens as an example)