搜索资源列表
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
weka-3-4-4
- 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decisi
92
- 本代码是用java语言编写的基于决策树c4.5算法的数据挖掘程序，它可以在很多领域如股票系统中使用 -the code is written in java-based Decision Tree Algorithm Bank data mining process, it can in many areas such as the use of the stock system
ID3算法源程序(C语言)
- ID3算法源程序。使用的方法是编写一个*.dat文件保存样本数据，还有一个*.tag文件保存属性列名，且最后一个属性是标号属性。运行是输入id3 文件名。输出格式是一个二叉判定树。-ID3 algorithm source. The method used was to prepare a document preservation*. dat sample data, a document preservation*. tag att
dtview-java
- java语言实现的一个在数据挖掘中能图形化显示决策树分类结果的程序。-java language of a data mining can display graphical decision tree classification procedures.
决策树c4.5-r8的windows版本
- 用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.
C4.5算法
- 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
贝叶斯决策
- 实现贝叶斯决策算法，从文件中读出数据，并且会出决策的分布图。-achieve Bayesian decision-making algorithm, which sensed data from the document, and will make the distribution of decision-making.
ID3_src
- 一个用C＃写的ID3算法，属于数据挖掘中的决策树生成算法。-a C# write ID3 algorithm, data mining is the decision tree generation algorithm.
binary DecisionTree
- 用VC＋＋写的二叉决策树执行程序。修改修改就可以用。-with VC++ to write the two forks Decision Tree implementation procedures. Amendments can be amended on.
decision surfaces
- 用于辨识,仿真,化工冶炼金属时控制过程曲面-for identification, simulation, chemical metal smelting process control surfaces
VBA
- 廣告策略制定決策支持系統 用Excle+VBA寫的,有源碼+文檔-advertising strategy developed decision support system used to write VBA Shuffle, a source document
C5.0
- THE DECISION TREE ALGORITHM USED VC
projet
- 一个模拟weka的系统，输入文件格式和weka的一样，实现决策树的分析以及通过数据挖掘整理规则集合，很值得新手学习-a simulation system, the importation of files and weka, the same realization of the decision tree analysis and data mining collated by the rules set, is worth lea
DescionTree
- 决策树技术之ID3以及C4.5算法学习，很有用哦-decision tree technology and C4.5 ID3 algorithm learning useful oh
viterbi-soft-9
- 软判决功率归一viterbi约束长度9，c＋＋代码。-soft-decision power under a Viterbi constraint length 9, c++ code.
8PSKProgrese
- 高速数据传输系统中，8PSK为常用的调制方式。为了满足更高的误码率指标，本文对软判决算法进行了深入的研究，并针对两种不同的软判决算法进行了误码率仿真。-high-speed data transmission system, commonly used for 8PSK modulation. In order to meet the higher rate of error, this pair of soft decision a
Expert_Choice[1]
- Expert Choice represents a significant contribution to the decision making process 工t assists a decision maker in solving complex problems involving many criteria and several courses of action . An Expert Choice solution
c45Algorithm
- C4.5是决策树的经典算法 C4.5 归纳学习是完全自动的学 习算法，所需要做的是选取有用的特征，构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful f
Dynamic_Programming
- 多阶段决策过程（ multistep decision process ）是指 这样一类特殊的活动过程，过程可以按时间顺序分解成若干个相互联系的阶段，在每一个阶段都需要做出决策，全部过程的决策是一个决策序列。 动态规划 （ dynamic programming ）算法 是解决 多阶段决策过程最优化问题 的一种常用方法，难度比较大，技巧性也很强。利用动态规划算法，可以优雅而高效地解决很多贪婪算法或分治算法不能解决的问题。动态规划算法的基