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贝叶斯决策实现线性样本分类
- MATLAB语言编程，用贝叶斯决策算法实现线性样本分类，输入待分类样本，输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
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)
work
- 1) 以身高为例，画出男女生身高的直方图并做对比； 2) 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3) 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4) 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(1) taking height as an example, draw the histogram of male and f
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)
模式识别与机器学习3贝叶斯决策理论
- 讲述模式识别与机器学习,贝叶斯决策理论的相关知识,(Bayesian decision theory in narrative pattern recognition)
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)
dca函数
- decision curve analysis，决策曲线（DCA），用于模型间的评价，领域包括医学临床决策等。(This is a software package, there is a code in the R language environment, the code is a function, function called decision curve, commonly used in statistical modeling, evaluation between the m
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)