搜索资源列表
weka-3-4-4
- 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and reg
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.
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! ! !
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.
NaiveBayes
- Java写的NaiveBayes分类器，Weka平台下的贝叶斯分类器。-Java written NaiveBayes classifier, Weka platform under the Bayesian classifier.
weka-3-4-12
- weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
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.
text_classification
- 这是一个文本分类的简单算法,基于weka的，实现文本的分类。-This is a easy classification code.
SimpleChameleon
- 简单变色龙JAVA程序，可直接导入WEKA中运行-JAVA chameleon easy procedure, can be run directly into WEKA
gui_antminer1.2.1
- Short descr iption: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas
weka-src
- weka源代码 最全最新的 数据挖掘用机器学习实现。包含聚类 分类 关联规则 离群点监测。java平台-weka most up-to-date source of data mining using machine learning to achieve. Clustering association rules classification contains outliers monitoring. java platform
weka-src
- weka 源程序包。包含weka下运行和用于测试的所有程序和数据，程序中附有详细的注释。-The source packet of weka. inlude all program processing in weka enviroment.There are full instruction in every program.
WekaChameleon
- 数据挖掘 weka 版的 chameleon 聚类算法java源码， 可直接用weka 运行-chameleon clustering algorithm source code for weka
WEKA-EDU
- Weka的全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一款免费的，非商业化（与之对应的是SPSS公司商业数据挖掘产品--Clementine ）的，基于JAVA环境下开源的机器学习（machine learning）以及数据挖掘（data minining）软件。它和它的源代码可在其官方网站下载。有趣的是，该软件的缩写WEKA也是New Zealand独有的一种鸟名，而Weka的主要开发者同时恰好来自New Zealand的
weka-3-7-7
- Weka的全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一款免费的，非商业化（与之对应的是SPSS公司商业数据挖掘产品--Clementine ）的，基于JAVA环境下开源的机器学习（machine learning）以及数据挖掘（data minining）软件。这是2012年8月下旬的最新版本。-The full name of the Weka Waikato intelligent analysis of the en
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
hand_writing
- 用Java实现了手写体数字识别，采用了WEKA工具包-Using Java to achieve a handwritten digit recognition, using the WEKA Toolkit
artificial-immune-system-applications-in
- svm2 in Java for Weka plateform , it works well and can be installed by the menegement of main interface.