Radboud Universiteit

Software Overview

WEKA.

Description
Weka is a collection of machine learning algorithms for data mining tasks.
Remarks
It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. 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.
Platform(s)
Windows
OS X (Apple Mac)
Linux
Available for
Private Devices Employees
Private Devices Students
RU-Workstations for Employees
RU-Workstations for Students
Remarks RU-Workstation for Students
3.6.13
License
GNU Public License
DeploymentTypes
Radboud supported workstations: please refer to the Software Center.
Not Radboud supported workstations for Employees: please contact your IT Helpdesk.
Version distributed by ISC
3.6.13
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