搜索资源列表
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.
weka-3-7-1
- 用于数据挖掘的最新版weka软件源码，解压weka-src.jar 到相应工程下的source文件夹中即可-weka-3-7-1
WekaAPIDemo
- 基于Weka包的API应用程序,eclipse开发，针对weka提供的各项功能。-API Application based on Weka.jar
MessageClustering
- 用java实现的应用了weka包的Kmeans方法的文本聚类程序。-a program written in java with simplekmeans in weka.jar.
mckoidb
- weka软件安装配置过程中所需要的一个jar包-a jar package for weka software installation
weka-src.jar
- Weka source code. A lot of classification algorithms can be implemented using this software.
numeric-datasets
- 37回归问题的数据集包，这是个jar包，用于weka数据挖掘平台-37 regression data sets package, which is a jar package for weka data mining platform
weka-3.6.0.jar
- an open source tool for data mining writen in java language.
associations
- 基于关联规则的分类实现方法 需要weka包-Implementation of CBA requirement： weka.jar
EclipsePweka
- 新建一个java工程，添加jar包，在weka的安装目录下（weka.jar和weka-src.jar）, 以下是测试代码，使用的数据集是weka-3-7自带-Create a java project, add jar package, weka installation directory (weka.jar and weka-src.jar), the following is the test code that uses the data set is weka-3-7 comes
weka添加算法方法
- 向weka里面添加算法分为三类： 一，添加算法jar包 二，添加下载的算法 三，自己写算法添加
ReutersClassification
- 调用weka.jar中的前处理及分类方法，实现对Reuters-21578数据集的文本分类-Do the classification for Reuters-21578 dataset based on methods in weka.jar
weka
- 机器学习调用weka的jar包实现的源码，包含朴素贝叶斯,决策树,ID3,以及特征选择的源码，数据集使用weka的数据集，需要使用arff文件读入。-Weka machine learning to call the jar package implements the source, including Naive Bayes, decision trees, ID3, and features selected source dataset weka data set, you need t
LibSVM1.0.10
- weka3.7 LibSVM.jar，主要用于weka进行SVM分类时，找不到jar包，报错LibSVM不在classpath(weka3.7,LibSVM.jar,When SVM is used for classification in weka, jar package is not found, and LibSVM is not in classpath.)