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Weka
来自开放百科 - 灰狐
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Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. | Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. | ||
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+ | ==简介== | ||
+ | Weka: [[Machine learning]] software to solve data mining problems | ||
==指南== | ==指南== | ||
==项目== | ==项目== | ||
+ | [http://weka.wikispaces.com/Related+Projects Weka Related Projects] | ||
*[[massive online analysis|MOA - Massive Online Analysis]] | *[[massive online analysis|MOA - Massive Online Analysis]] | ||
*[http://meka.sourceforge.net/ Meka]: A Multi-label Extension to Weka | *[http://meka.sourceforge.net/ Meka]: A Multi-label Extension to Weka | ||
*[http://dme.rwth-aachen.de/en/OpenSubspace OpenSubspace]: Weka Subspace-Clustering Integration | *[http://dme.rwth-aachen.de/en/OpenSubspace OpenSubspace]: Weka Subspace-Clustering Integration | ||
+ | *[http://www.cs.ubc.ca/labs/beta/Projects/autoweka/ Auto-WEKA] | ||
+ | *[https://github.com/ariskk/distributedWekaSpark Weka on Spark] | ||
+ | *[https://www.mathworks.com/matlabcentral/fileexchange/21204-matlab-weka-interface Matlab Weka Interface] | ||
+ | *[http://weka.sourceforge.net/packageMetaData/ Weka Packages] | ||
+ | *[http://weka.sourceforge.net/packageMetaData/wekaDeeplearning4jCPU/index.html wekaDeeplearning4jCPU]: Weka wrappers for [[Deeplearning4j]] | ||
==中文化== | ==中文化== | ||
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<gallery> | <gallery> | ||
image:weka-book.jpg|数据挖掘 | image:weka-book.jpg|数据挖掘 | ||
+ | image:weka-package-manager.png|包管理器 | ||
</gallery> | </gallery> | ||
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*[http://docs.huihoo.com/weka/ Weka文档] | *[http://docs.huihoo.com/weka/ Weka文档] | ||
*[http://docs.huihoo.com/javadoc/weka/ Weka Javadoc] | *[http://docs.huihoo.com/javadoc/weka/ Weka Javadoc] | ||
− | *[http:// | + | *[http://wiki.pentaho.com/display/DATAMINING/Pentaho+Data+Mining+Community+Documentation Pentaho Data Mining Community Documentation] |
[[category:business intelligence]] | [[category:business intelligence]] | ||
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[[category:data science]] | [[category:data science]] | ||
[[category:java]] | [[category:java]] | ||
+ | [[category:huihoo]] |
2017年7月7日 (五) 02:26的最后版本
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您可以在Wikipedia上了解到此条目的英文信息 Weka Thanks, Wikipedia. |
Weka - Open Source Data Mining
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
目录 |
[编辑] 简介
Weka: Machine learning software to solve data mining problems
[编辑] 指南
[编辑] 项目
- MOA - Massive Online Analysis
- Meka: A Multi-label Extension to Weka
- OpenSubspace: Weka Subspace-Clustering Integration
- Auto-WEKA
- Weka on Spark
- Matlab Weka Interface
- Weka Packages
- wekaDeeplearning4jCPU: Weka wrappers for Deeplearning4j
[编辑] 中文化
[编辑] 文档
[编辑] 书籍
[编辑] 图集
[编辑] 链接
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