搜索资源列表
weka
- 用java开发的免费开源数据挖掘软件教程，很值得学习-Java development using open source data mining software, free tutorials, it is worth learning
wekatools
- weka中分类方法，进行了组合分类方法和交叉验证方法-weka classification
Weka_developping
- WEKA实现了数据挖掘 对于它在JAVA当中的使用 本文有了一些概述-WEKA data mining to achieve it in JAVA for the use of which has some overview of this article
j48
- weka j48源码 用于分析、二次开发等-weka Java code
ExperimentDemo
- ExperimentDemo for Weka
machine_learning
- 机器学习weka包源代码，实现了各种机器学习算法-Weka machine learning package source code, to achieve a variety of machine learning algorithms
SimpleKMeans
- kmeans.java 代码。用于数据挖掘中的聚类算法。这个事weka中开源的代码。-failed to translate
os-weka1-Examples
- 在weka环境下进行数据挖掘数据，一个数据集实例-Environment in the weka data mining data, a set of instance data
jBNC
- jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. jBNC
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
Main
- 采用weka包实现属性选择的功能，求核求约简-Attribute selection using weka package to achieve the function of a Core demand reduction
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.
wekaUT.tar
- 实现半监督聚类，针对weka框架进行扩展。-It realize semi-supervised clustering method. And it is extension of weka.
wekaexamples
- weka样例代码,是一个很好的weka学习的代码库。-weka code
J48
- J48 (unpruned or pruned C4.5 decision tree algorithm) WEKA project
wekaUsing
- weka.数据挖掘开源代码。并基于此做一个小型 的应用。代码很适合于数据挖掘的理论学习。-Data mining of open source code Weka. And based on this to do a small application. The code is suitable for data mining theory study.
SimpleChameleon1
- 基于别人程序的一个改进，在weka里面测试了一下，自认为还不错。-Based on an improved program of others, the test is pretty good
RmiJdbc
- 数据挖掘概念与技术,数据库连接，weka 编译。-datmining concept and technology
attributeSelection
- Helper class that executes Weka schemes from the command line. Performs Suffix matching on the scheme name entered by the user - e.g.