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decision tree saiid shiri
- decision tree by saiid shiri
C4_5.rar
- 决策树C45，用matlab编写的，数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
c4.5.rar
- 决策树c4.5算法的c++实现 希望对大家有用,C4.5 decision tree algorithm c++ to achieve useful for all of us hope
c4.5
- 决策树关联规则比较经典的算法，通常一下大型的应用项目使用，因为其稳定，实用！-Comparison of the classical association rules decision tree algorithm, usually about the use of large-scale application projects, because of its stability, and practical!
c4.5java
- 决策树分类算法，c4.5，java语言进行描述的-Decision tree classification algorithm, c4.5, java language described
C4_5.m
- his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
ID3
- 实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
CART
- 这是一个分类和回归树算法，它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
decision-tree
- 本程序实现了一个决策树生成程序， 决策树学习是应用最广的归纳推理算法之一。这是一种逼近离散值函数的方法，对噪声数据有很好的健壮性且能够学习析取表达式。在这种方法中学习到的函数被表示为一棵决策树。学习得到的决策树也能再被表示多个if-then规则，以提高可读性。本程序附带详细的说明文档-decision tree ID3
tree
- 决策树算法的matlab实现，主要适用的是id3 算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking
decisiontree
- 这个是一个关于建立决策树的python程序．本程序运用entropy来决定splitting point.处理的数据得在程序中输入．希望大家觉得有用-This is a decision tree on the establishment of procedures for the python. Entropy of the process to decide the use of splitting point. Deal with the data was input in the pro
c4.5matlab
- c4.5 关于决策树decision tree的matlab实现程序 -c4.5 decision tree decision tree on the realization of the matlab program
ID3_src
- 数据挖掘决策树ID3算法原理 适用数据挖掘的模拟测试-ID3 decision tree data mining applies data mining algorithm simulation tests
NeC45
- NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
decision+tree
- 决策树，很经典，不是一般的经典，你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it
decision
- 决策树源代码 decision tr-decision tree
decision
- decision tree matlab code
decision-tree
- 该算法是数据挖掘中的数据分类算法，通过构造决策树，进而实现对数据的分类。-Data classification, decision tree structure
Fuzzy-Decision-Tree-Algorithms
- Fuzzy Decision Tree Algorithms
decision tree
- 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。本代码提供生成决策树的算法。(A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including c