搜索资源列表
cart
- vc++下的决策树cart算法，最为经典的算法之一。
CART
- 用matlab编写的CART数据挖掘决策树算法-using Matlab CART prepared by the Data Mining Decision Tree Algorithm
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
CART_iris
- matlab数据挖掘算法。实用cart决策树进行分类，可识别多类。decision tree algorithm, classification.-Matlab data mining algorithms. Practical cart decision tree classification, identification number category. Decision tree algorithm, the classific
Cart
- 实现决策树分类训练试验。 源自c4.5，在windows下用C++实现,简洁好用。用户只需要构建好特征说明文件，并选择一些参数既可以进行试验。-Realize decision tree classifier trained pilot. From c4.5, in windows using C++ Realize, concise easy to use. Users only need to build a good feat
jueceshur8
- 是构造决策树分类器的一种算法，它是ID3算法的扩展。ID3算法只能处理离散型的描述性属性，而此算法还能够处理描述性属性是连续型的情况。-Decision tree classifier is constructed of an algorithm, which is an extension of ID3 algorithm. ID3 algorithm can only handle discrete descr iptive att
jueceshu
- 决策树 cart 二叉树代码，简要算法与说明-Decision tree cart binary tree code algorithm and briefly explain
cart
- vc++下的决策树cart算法，最为经典的算法之一。-vc++ under the cart of the decision tree algorithm, one of the most classic algorithm.
decision_tree_cart
- 决策树cart，用matlab编写的，数据挖掘算法。-Decision tree cart, prepared using matlab, data mining algorithms.
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
CART
- 决策树算法的CART算法，用MATLAB编写，能有，不错的。-CART decision tree algorithm algorithm, using MATLAB to prepare, to have, good.
1
- 分类决策树辅助 CT 诊断孤立性肺结节的 方法学研究 应用分类与回归决策树( CART) 算法构建 CT 显像鉴别良恶性孤立性肺结节 ( SPN) 预测模型,探讨数据挖掘技术在 SPN 影像诊断中的应用价值。-Coin lesion, pulmonary Diagnosis, computer-assisted Regression analysis
CART
- CART算法 经典的matlab实现 大家可以好好学习一下 有做决策树的可以和我交流-CART algorithm to achieve the classic matlab
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
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 rule
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)
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)
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)
决策树与随机森林
- 给出对决策树与随机森林的认识。主要分析决策树的学习算法：信息增益和ID3、C4.5、CART树，然后给出随机森林。 决策树中，最重要的问题有3个: 1. 特征选择。即选择哪个特征作为某个节点的分类特征； 2. 特征值的选择。即选择好特征后怎么划分子树； 3. 决策树出现过拟合怎么办？ 下面分别就以上问题对决策树给出解释。决策树往往是递归的选择最优特征，并根据该特征对训练数据进行分割。(The understandin
决策树
- 决策树算法基于python语言的具体实现实例(Implementation of decision tree algorithm based on Python language)