搜索资源列表
决策树学习及SEE5的使用
- 数据挖掘分类算法决策树学习算法介绍以及SEE5的使用说明-data mining algorithms decision tree classification algorithm presentations and the use SEE5
C4.5
- 决策树 C4.5 分类器, 用java语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the java language. U.S. with reference.
id3
- 使用java实现id3算法建立决策树,建成决策树后可以测试用例,使用决策树对用例分类。主类是ID3List,花了3天时间写完调试通过的。 ID3算法的实现 包括:建树,测试用例, 选根, 建立叶子节点, 求熵, 求信息期望,求信息增益 等方法以及相应的测试 * 测试:目前全部方法都无异常。makeTree方法有两处逻辑错误待修正 工具类 ListUtil MathUtil ClassUtil StringUtil * DecisionTree 等工具类 实体类 Person(--
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
data-dig
- 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法, 决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Baye
DecisionTree-id3
- 商业只能中数据挖掘的决策树算法 用于数据分类-Data Mining Decision Tree Algorithm
ID3
- 决策树算法 经典的ID3算法 用于决策树规则学习等等 在规则学习以及分类中有重要的作用-classic decision tree mode for classification and rule learning
J48cv
- 基于决策树的n则交叉验证分类器-based on decision tree cross-validation classifier.....................
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
test_object
- 高级信息提取 基于专家知识的决策树分类 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorithms such as c4.5 cart), definitions and rules to build decision trees
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.)
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.)
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)
chapter28
- 决策树分类器在乳腺癌诊断中的应用研究(2012b版本)(Application of decision tree classifier in breast cancer diagnosis (2012b version))
决策树-判断隐形眼镜的类型
- 使用python实现的利用随机数生成算法对一个实例,判断隐形眼镜类型的分类问题进行解决。(Use python and random decision tree algorithm to solve the classification problem)
决策树C4.5算法matlab源代码(完美运行)
- 可以完美的实现用于统计学习的算法C4.5分类,完整的matlab程序(Classification of algorithm C4.5 for statistical learning)
Dectree
- 决策树分类小程序,分类一个酒的类别数据集,数据集里有三类酒,利用matlab自带的决策树函数,根据数据集进行建模,预测。决策树小程序Demo(Decision tree classification program, classification of a wine category data set, there are three types of wine in the data set, using the decision tree function of matlab, accord
matlab实现的C4.5分类决策树算法
- C4.5决策树分类算法,用于进行数据分类(Classification algorithm)