搜索资源列表
ID3code
- 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。id3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 decision tree algorithms to generate information gain the greatest attribute as a classification attributes, generate decision tree, Thus,
Theclassicalid3
- id3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。-id3 the most comprehensive source Decision Tree classic version. Id3 decision tree and the achievement test data. I d3 a useful data mining al
5611969759
- 决策树分类的ID3算法[VC++],请大家多指教,-the ID3 decision tree classification algorithm [VC], please enlighten everyone, thank you
ID3_kidney
- 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析，采用ID3算法找到最优决策树。-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database
matlab-C4
- 该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足-The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its
decisiontree
- 决策树的ID3算法用C++实现，还有一些文章和数据等等。-ID3 decision tree algorithm using C++ implementation, there are some articles and data and so forth.
ML_decisiontree
- 实现ID3决策树算法,支持连续属性值和缺失数据属性值-ID3 Decision Tree algorithm
id3DecisionTree
- c++实现的id3产生决策树的源程序!请放心使用！-id3 Decision Tree!
ID3_tree
- this ID3 algorithm for decision tr-this is ID3 algorithm for decision tree
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
Kode-Program-Algoritma-C4.5
- C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical class
DTree-C4.5
- ID3 决策树的实现 数据挖掘 Dtree4.5-ID3 decision tree data mining Dtree4.5
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 information, the factor attribute v
111
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. -C4.5algorithm is a kind of machine learning algorithm of decision tree classification algorithm, the algorithm is the core of ID3 algorithm.
decisiontree1
- 使用sql server中的MDX语言直接对数据进行挖掘，采用ID3决策树算法-ID3 decision tree
BIID3_javaa
- 基于决策树的数据挖掘算法，是很不错的的Java版的ID3算法，大家可以看看。 -Decision tree-based data mining algorithms is a very good Java version of the ID3 algorithm, we can see.
MY_ID3
- 这是用C++实现的ID3决策树，决策树算法是非常常用的分类算法，是逼近离散目标函数的方法，学习得到的函数以决策树的形式表示。-ID3 decision tree, the decision tree algorithm implementation in C++ is a very commonly used classification algorithms, approximation discrete objective function, the learning function to
DecisionTree
- 决策树的简单实现，使用ID3作为属性度量选择，测试数据为Jiawei Han数据挖掘书本第六章购物篮数据-Simple implementation of the decision tree using ID3 as an attribute metric selection, test data Jiawei Han data mining the the books Chapter VI basket data
matlab_ID3
- 决策树的ID3算法的源代码，最后是其实验数据，运行很简单！-ID3 decision tree algorithm source code, and finally the experimental data, the run is very simple!
C4_5
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. 分类决策树算法是从大量事例中进行提取分类规则的自上而下的决策树. -C4.5 algorithm is a machine learning algorithm, a classification decision tree algorithm, the core algorithm is ID3 algorithm classification tree algorithm is extracted from