Weka

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Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

[edit] Availability

Version 3-6-1:

  • biobase.ist.unomaha.edu
  • klab.ist.unomaha.edu
  • phylogeny.ist.unomaha.edu

[edit] Installation

In a ubuntu box, do the following to install weka: 

1. wget weka-3-6-1.zip
2. mkdir weka
3. mv weka-3-6-1.zip weka
4. cd weka
5. unzip weka-3-6-1.zip ; chown -R root.root weka-3-6-1/ ; mkdir /usr/local/weka ; cp -r weka-3-6-1/* /usr/local/weka 
6. Make a weka.sh file within /usr/local/weka which simply runs java -jar /usr/local/weka/weka.jar
7. Make sure /usr/local/weka is included in the environmental variable PATH.
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