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wekajava
- 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 decision tree classification and regr
Qihang-Wang-HW1_PART2
- Machine Learning 的decision tr-Machine Learning of the decision tree
BestSplit
- its a gini, entropy and gain calculation deciding wat attribute to split in a decision tr-its a gini, entropy and gain calculation deciding wat attribute to split in a decision tree
JapaneseVowels
- 数据挖掘的应用，对数据集建立决策树，然后利用测试集中的数据判断测试。并给出最终的决策判断的正确率。-The application of data mining, decision tree on the data set, and then use the test to determine the test data set. The final decision making given the correct rate.
dssTree
- ID3 Decision Tree Algorithm JAVA realize: ID3 machine learning algorithm is a classification method, the example of using java to build a multi-tree algorithm id3 realize.
ID3
- ID3 is data classification algorithm.it is used to generate decision tree from given data set.decision is used to make strategic decision from generated decision tree.-ID3 is data classification algorithm.it is used to generate decision tree from giv
Entropy
- its program for finding entropy so we can use it in the decision tree -its program for finding entropy so we can use it in the decision tree
BFTree
- 数据挖掘中经典的决策树算法java代码实现-decision tree
RoughSet3_1
- java实现的以粗糙集改进的决策树经典算法ID3，并有小实例进行测试，结果正确。-Java realize decision tree classic ID3 algorithm, and a small example to test, the result is correct.
J48
- J48 (unpruned or pruned C4.5 decision tree algorithm) WEKA project
db
- Decision tree for databases using entropy
ID3
- 决策树ID3 算法 1. 假设所有的属性值域都是分类型或名词离散型的 2.求信息增益时，log函数本来应以2为底，但是为了方便起见，直接调用了java.util.Math类中的以e为底的log函数，无论以什么为底均不会对影响结果产生影响 3.最后的输出并没有以树结构的形式给出，但是可以根据输出结果分析出决策树的结构-decision tree ID3
TreeID3
- 决策树ID3分类算法以及朴素贝叶斯分类算法可以用于数据的分类-Decision tree ID3 classification algorithm and the naive Bayesian classifier algorithm can be used for data classification
DT_C45
- 用C++实现决策树的C4.5算法，又一个例子，有详细的建树过程，分别写出了每个函数，能够实现，有参考价值-With C++ realize decision tree C4.5 algorithm, and an example, a detailed construction process, write each function, can be achieved, there is reference value
C4_5
- 用C++实现决策树的C4.5算法，有详细的建树过程，能够实现，有参考价值-With C++ realize decision tree C4.5 algorithm, has a detailed construction process, can be realized, there is reference value
datamining-algorithm
- 数据挖掘的经典算法的java实现，含源码和说明。包括了ID3决策树，贝叶斯分类器等经典算法。-A Java implementation of classic data mining algorithm, including source code and instructions. Including the ID3 decision tree, bayes classifier and classic algorithms.
ID3
- 基于ID3的决策树分类算法，是数据挖掘中常用的一种算法。代码压缩包中包含所有java程序，但需要用户自己建立数据库的表。-ID3-based decision tree classification algorithm, is a commonly used data mining algorithms. Code archive contains all java program, but requires the user to create their own database table
id3
- data mining id3 algorithms decision tr-data mining id3 algorithms decision tree
for-java
- 是决策树的数据训练源码，但是决策树部分没有全部实现-The data source is a decision tree training, but some did not achieve full tree
ID3
- 决策树的ID3源码 是比较好的源程序,实现了离散数据的训练-ID3 decision tree is a better source code