搜索资源列表
Scart
- 单机化数据挖掘分类算法，CART决策树算法-CART Classification algorithm
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
DataMine_ID3_Rule_chenwen
- 功能强大的 数据挖掘分类算法ID3决策树实现，及用Drools规则引擎计算规则命中率-the athornirge for the data mine ID3 distuction tree and rule engine
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
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
DT
- 关于数据挖掘中的决策树ID3算法的代码。-About Data Mining ID3 decision tree algorithm code.
C4.5
- C4.5版本决策树程序源代码，简单易懂，队初学数据挖掘者有个很好的参考价值。-C4.5 decision tree version of the source code, easy to understand, the team novice data miners have a good reference value.
AdaBoost
- 基于决策树实现的AdaBoost分类器，是一个由多个弱分类器进行训练生成强分类的过程。-Based on AdaBoost classifier tree implementation, is a plurality of weak classifiers in the training process generates a strong classifier.
RandomForest
- 基于决策树实现的随机森林算法，是数据挖掘中一个经典的分类算法，对初学者具有很好的学习参考意义。-Based on Decision Tree achieved random forests algorithm is a classical data mining classification algorithm, for beginners to learn with a good reference value.
Id3
- web数据挖掘技术的决策树算法ID3的Java源代码。-web data mining technology ID3 decision tree algorithm Java source code. . . . . . .
Trees-J48-Java-Code
- 决策树算法J48的Java源程序，十大经典算法之一。eclipse环境下导入算法可进行数据分类。-J48 decision tree algorithm of Java source code, one of the top ten classical algorithm. eclipse environment can import data classification algorithms.
Tree-ID3-Java-Code
- 决策树之经典算法ID3的Java源代码，eclipse环境下进行数据分类必备算法之一。-Classic decision tree algorithm ID3 Java source code, one classification algorithms necessary data for the next eclipse environment.
C45Test
- 决策树java实现，包括工程，以及源代码，直接打开就可以使用。-decision tree
DecisionTree
- 决策树算法 决策树算法 -decesio tree
IDEdejavashixian
- 可以将决策树算法中的IDE算法用JAVA语言来实现-ID3de achieve