Projects / WEKA

WEKA

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 also well-suited for developing new machine learning schemes. The development version contains a GUI with visualization tools and direct database access.

Tags
Licenses
Operating Systems
Implementation

RSS Recent releases

  •  30 Jan 2001 06:14

No changes have been submitted for this release.

Screenshot

Project Spotlight

Stantor-Domodulor

A home automation software system.

Screenshot

Project Spotlight

Monit

A utility for monitoring Unix system services.