搜索资源列表
dssTree
- ID3决策树算法的JAVA实现:ID3算法是机器学习中的一种分类方法,本例子用java构建多叉树来实现id3算法。
C4.5
- 决策树 C4.5 分类器, 用java语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the java language. U.S. with reference.
id3
- 使用java实现id3算法建立决策树,建成决策树后可以测试用例,使用决策树对用例分类。主类是ID3List,花了3天时间写完调试通过的。 ID3算法的实现 包括:建树,测试用例, 选根, 建立叶子节点, 求熵, 求信息期望,求信息增益 等方法以及相应的测试 * 测试:目前全部方法都无异常。makeTree方法有两处逻辑错误待修正 工具类 ListUtil MathUtil ClassUtil StringUtil * DecisionTree 等工具类 实体类 Person(--
libsvm-2.88-string
- SVM一个分类组件,用于分类的算法,和决策树等算法都是用于机器学习的算法-SVM
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
Scart
- 单机化数据挖掘分类算法,CART决策树算法-CART Classification algorithm
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
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
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.
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.
RandomForest
- 随机森林是由多棵树组成的分类或回归方法。主要思想来源于Bagging算法,Bagging技术思想主要是给定一弱分类器及训练集,让该学习算法训练多轮,每轮的训练集由原始训练集中有放回的随机抽取,大小一般跟原始训练集相当,这样依次训练多个弱分类器,最终的分类由这些弱分类器组合,对于分类问题一般采用多数投票法,对于回归问题一般采用简单平均法。随机森林在bagging的基础上,每个弱分类器都是决策树,决策树的生成过程中中,在属性的选择上增加了依一定概率选择属性,在这些属性中选择最佳属性及分割点,传统做法
Decision-tree-algorithm
- 数据挖掘,机器学习经典分类算法,决策树算法ID3 C4.5 Java实现 开发环境 eclipse-Data mining, machine learning classic classification algorithm, decision tree algorithm ID3 C4.5 Java development environment eclipse
C45-3
- 实现C4.53决策树算法,实现数据的分类(Implementation of C4.53 decision tree algorithm)
rseslib-3.0.4-src
- 包含很多知名算法实现,支持向量机,决策树,粗糙集,贝叶斯分类器等,适合学术研究,短评论意见挖掘,文本分类等(It includes many well-known algorithm implementation, support vector machine, decision tree, rough set, Bias classifier, etc., which is suitable for academic research, short comment mining, text c
BreastCancer
- Java实现机器学习经典分类算法,代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)