搜索资源列表
C4.5-2
- 数据挖掘中的c4.5算法 给予决策树
C4.5算法源程序
- C4.5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。-C4.5 decision tree algorithms to generate information gain the greatest attribute as a classification attributes, generate decision tree, and came to decision-making rules.
决策树C4.5
- 决策树C4.5
c4.5-r8
- 数据挖掘算法 c4.5-r8
c4.5
- 数据挖掘十大算法之c4.5简介
C4.5.zip
- C4.5决策树算法C语言实现，经编译，基本上可用,Work out C4.5 using C
my.rar
- 自己写的，基于C4.5的数据额挖掘算法，有训练和测试训练集，学习数据挖掘的好程序样例！,Wrote it myself, based on the amount of C4.5 data mining algorithm, a training and testing of training set, a good learning process of data mining sample!
c45.rar
- 这是数据挖掘中c4.5分类算法的vc++源码。,This is a data mining algorithm c4.5 classification of vc++ source code.
bc45.rar
- borland c 4.5,用来编译ucosII,用于windows环境下,borland c4.5 use for compiling ucosII,under windows envirmont
C45.rar
- C4.5决策树的应用,c45是数据挖掘中重要的决策工具,C4.5 decision tree application
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!
datamining
- 数据挖掘中的决策树算法。c4.5,用C语言写的。比较全面。-c4.5
matlab
- 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
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
C4_5
- C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code
mitmatlab
- 能够实现几种经典的分类算法（ID3，C4.5等）-It can inmplement several classic classification algrorithm(ID3，C4.5,etc.)
C4_5
- 这是一个用matlab编写的C4.5算法的实现-this is a classification of machine learing,C4.5,using matlab
DataCheck
- 入侵检测数据检测算法，根据C4.5源码改编-Intrusion detection data detection algorithm, in accordance with C4.5 source adaptation
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.
Baggingboostingandc45
- 模式识别bagging boosting c4.5算法-Bagging boosting c4.5 algorithm for pattern recognition