搜索资源列表
Weka
- Weka3.5.5，很好用的数据挖掘软件
Weka
- Weka3.5.5，很好用的数据挖掘软件-Weka3.5.5, good use of data mining software
Weka3.5.8
- weka3.5.8版本，包括3.5.8版本的安装程序和源码，两个3.5.5的英文版入门教程和一个中文入门教程-weka3.5.8 version, including the 3.5.8 version of the installer and source, the two English-language version 3.5.5 and a Chinese Tutorial Tutorial
Weka3.7
- 伟大的数据挖掘软件weka3.7.rar在Myeclipse环境下的源码导出包，其中包含许多著名的数据挖掘算法源码。-The great data-mining software weka3.7.rar environment in the Myeclipse source export package, which contains many well-known source of data mining algorithms.
weka-3-6-1
- Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools
weka
- 这个weka扩展包是针对weka3.4.10版本的，所以，如果你使用的是3.4.10，可以直接替换该文件即可。如果你使用的是3.5.5，则直接替换会导致weka丧失一些新功能。关键是明白它的加载原理
weka-3-7-0jre
- 最近的weka数据处理软件版本，可以对数据进行初始化，聚类、回归等等操作，功能强大，操作方便-Recent weka data processing software version, you can initialize the data, clustering, regression, etc. operation, powerful, easy to operate
weka-src
- weka3.6源代码，java版本，每个算法都有详细的注释，适合初学者阅读-weka3.6 source code, java version, have detailed notes of each algorithm, suitable for beginners to read yo! ! !
weka_JavaPackage
- weka3.6jar文件 weka3.6jar文件 weka3.6jar文件 weka3.6jar文件-weka3.6jar documents
Weka3.7
- weka可以轻松地进行各种统计学运算，可以在做数据挖掘时作为很好的分析工具帮助开发人员进行分析。-weka can easily carry out a variety of statistical computing in data mining as a good analytical tool to help developers analyze.
weka3.6.0
- WEKA 3.6版本，官方稳定版本，适合要求稳定版本的同学们！-WEKA 3.6 version, the official stable version, suitable for students that require stable version!
WekaUse
- Weka各类分类器的使用（Java）.MyEclipse2013+Weka3.6+libsvm3.18+Jdk1.7+Win8.1-Weka various types of classifiers using (Java). MyEclipse2013+Weka3.6+libsvm3.18+Jdk1.7+Win8.1
weka-3-8-1
- weka3-8-1最新包，可直接放到eclipse 或者打开可视化做数据挖掘(The latest package of weka3-8-1 can be directly put into eclipse or open to do data mining.)
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.)
RUSBoost
- 使用matlab调用weka示例代码, 其中使用了boot算法(use matlab to call weka)