搜索资源列表
SSiCP2.0b
- 基于weka平台的数据挖掘方法，改进特征基因选择过程，使得癌症分类精度更高
clustering
- 将Weka数据挖掘工具所产生的K-MEANS和DBSCAN结果转化成MATLAB可输出三维图像的格式
WekaIndex
- 用过weka的知道,它需要特定的数据格式,如果对这种格式的做索引,效率会更高.这个wekaindex就是为这个做的.代码量虽然少,但是很有用的哦
weka
- :<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序，结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等-: lt; Lt; Data Mining -- Practical Machine Learning Technology and java achieve gt; Gt; A ma
judge_binaries
- 自动地分类和聚集文档，可以选择作为一个Web服务。这个程序完全是用Java编写的，利用了 Weka机器学习工具包。-automatic classification and gathering documents, we can choose as a Web service. This procedure is completely written in Java, Weka use of machine learning kits.
fuzzyWeka_1_0
- 包含FuzzyKMeans, FuzzyGK, FuzzyR等算法，拓展了weka（本站可以下载）-Contains algorithm such as FuzzyKMeans, FuzzyGK, FuzzyR. Extends weka(it is can be download form this site)
CahitArf-src-1.0
- weka机器学习系统（本站可下载）的拓展，简化了从关系数据库中提取数据-weka machine learning system (download site), the development of a simplified relational database from which to extract data
RSW
- 把 sequential 有导师学习问题转化为传统的有导师学习问题，是weka机器学习系统（本站可下载）的一个拓展-instructors put sequential learning into traditional learning instructors, weka machine learning system (download site), an expansion
tclass-1.0.0
- 用于multivariate时间序列分类，利用了weka机器学习系统（本站可下载）-for multivariate time series classification, the use of machine learning system weka (site available for download)
milk-1-0
- MILK 提供了一个实现和比较multi-instance学习算法的环境，基于weka机器学习系统（本站可以下载）-MILK provides a comparison and achieve multi-instance learning algorithm, based on machine learning system weka (site can be downloaded)
weka-src weka3.6源代码
- 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! ! !
GEPKNN.rar
- 代码是一个分类器的实现,其中使用了部分weka的源代码。可以将项目导入eclipse运行，记得把训练数据（arff文件）放在项目根目录下。,Code is the implementation of a classifier, the use of some of the weka source code. Projects can run into eclipse, I remember the training data [arff files] on the project root di
聚类K-Medoids算法
- 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed descr iption of the procedures and examples.
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
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
NaiveBayesSimple
- Java写的NaiveBayesSimple程序，简单NaiveBayes，基于Weka平台下。-Java written NaiveBayesSimple procedures, simple NaiveBayes, based on the Weka platform.
lmt
- this is code of data mining exatracted from weka tool which is java base
CorrelationSplitInfo
- this an weka tool source code implemented in java-this is an weka tool source code implemented in java
M5Base
- this an weka tool source code implemented in java used in dm-this is an weka tool source code implemented in java used in dm
RuleNode
- this an weka tool source code implemented in java in data mining purpose-this is an weka tool source code implemented in java in data mining purpose