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weka-3-3-5
- own Java code. WEKA 是一个机器学习运算法则，它是为解决真实世界中的数据问题。它用java写成并且几乎可以在任何平台上运行。运算法则能够被直接应用到数据集上或者从你自己的java 码中调用。-own Java code. WEKA is a machine learning algorithms, it is to solve the real-world data. Using java can be written in almost any platform. Algor
weka-3-5-5
- weka是机器学习和数据挖掘领域最有影响力的开源项目之一，大量实用的代码-weka is machine learning and data mining areas of the most influential open source projects, a lot of practical code
ExplorerGuide-3.5.5.
- 这是数据挖掘工具WEKA中WEKA Explorer的用户使用手册,本文档为版本3-5-5的中文版.-This is data mining tools which WEKA WEKA Explorer user manuals, This document to 3 -5-5 version of the Chinese version.
ExperimenterTutorial-3.5.3
- 有关weka的experimenter的介绍,对整体了解weka很有帮助
weka-3-5-7_lc
- 新西兰大学开发的一款数据挖掘软件，在java虚拟机环境下运行，用户可以自己编写算法程序在软件里进行验证
weka-src.rar
- Weka，一个数据挖掘工具。功能包括：分类、聚类和关联规则等等。这是该开源软件的源代码，版本为3.5.7,Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7
ExplorerGuide-3.5.5_chs
- WEKA 3-5-5 Explorer 用户指南 原中文版-Explorer how to use weka 2-5-5
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.
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
ExplorerGuide-3.5.5
- WEAK开发指南，主要说明了WEKA环境下的实验方法和步骤，对不同的实验内容进行了详细的说明-WEAK development of guidelines, mainly to explain the WEKA environment, experimental methods and procedures for different experiments carried out a detailed descr iption of the contents of
BayesianNetClassifiers-3-5-8
- Weka的贝叶斯分类器官方使用指南，PDF格式，48页，版本为3.5.8（兼容更新的3.6+版本）-Weka Bayes classifier official User Guide, PDF format, 48 pages, version 3.5.8 (compatible with an updated version)
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
ExplorerGuide-3.5.5.pdf
- WEKA 用户指南 中文翻译版，WEKA 3-5-5 Explorer -Chinese translation version of the WEKA User Guide
FuzzyCMeans
- 向weka平台添加fcm算法，之前的方法在3.5版本后不能用-Add to weka platform fcm algorithm, the previous method can not be used in the 3.5 version
fs_sup_fcbf
- Using Weka s feature selection algorithm X, the features on current trunk, each colum is a feature vector on all instances, and each row is a part of the instance Y, the label of instances, in single column form: 1 2 3 4 5 ... a.E = w
weka-3-7-5
- weka 3.7.5 source code