搜索资源列表
c4.5
- C4.5决策树算法，使用VC++实现的，比较好用
遗传算法2-5
- 遗传算法实用程序5（pascal)-GA Utility 5 (pascal)
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.
c 5.5
- 本人用c作的c 5.5,一种决策书的开发工具，感兴趣的可以一起研究-I used for the c c 5.5, a decision on the development tools, together with interest the study
决策树的 C4.5
- 决策树的 C 4.5 Vc++实现的
c4.5.rar
- 通过C4.5 的实现可以进行构建决策树 来进行有效的分类,Through the realization of C4.5 decision tree can be constructed to carry out an effective classification
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
jaDTi-0.5.0
- c4.5 java code -c4.5 java code ..............
ExplorerGuide-3.5.5_chs
- WEKA 3-5-5 Explorer 用户指南 原中文版-Explorer how to use weka 2-5-5
minipar-0.5-Windows
- 基于依赖的英文词法分析器， 能分出词的此性，句子单词的关系-The program is provided "as is" without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The
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.
weka-3-5-8
- 数据挖掘的最常用工具。由于开源，可以使用自己的代码进行开发。-The most commonly used data mining tools. Because of open source, you can use to develop their own code.
Weka3.5.8
- weka3.5.8版本，包括3.5.8版本的安装程序和源码，两个3.5.5的英文版入门教程和一个中文入门教程-weka3.5.8 version, including the 3.5.8 version of the installer and source, the two English-language version 3.5.5 and a Chinese Tutorial Tutorial
Project1_C4.5_NEW_985101292
- 机器学习界著名的决策树算法的实现c4.5算法，这是开源的，有兴趣的可以研读-The well-known machine learning algorithm to achieve c4.5 decision tree algorithm, which is open source, could be interested in reading
C4.5
- 数据挖掘中的c45，决策数算法，是数据挖掘中最经典的算法之一-it s used for data mining
asmlibrary-5[1].0
- ASM库5.0版本，来自google code,更新支持linux，内含API应用指南-Active Shape Model API
AI-5
- 人工智能第5章。上海华东理工大学戴本祁教授-Artificial Intelligence Chapter 5. Shanghai East China University of Technology Professor Dai Benqi
C4.5)
- C4.5源代码,为数据挖掘中的C4.5的详细源代码，可以生成决策树-C4.5 source code, as in the C4.5 data mining details the source code, you can generate decision trees
Development-of-a-5-DOF-Prosthetic-Arm-for-Above-E
- Development of a 5 DOF Prosthetic Arm for Above Elbow Amputees
c4.5
- c 4.5 分类算法 数据挖掘 源码-c 4.5 source data mining classification algorithms