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ELKI Environment for Developing KDD-Applications Supported by Index-Structures

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Elki: environment for developing kdd-applications supported by index-structures

http://elki.dbs.ifi.lmu.de/
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.

Its focus is particularly on clustering and outlier detection methods, in contrast to many other data mining toolkits that focus on classification. Additionally, it includes support for index structures to improve algorithm performance such as R*-Tree and M-Tree.

The modular architecture is meant to allow adding custom components such as distance functions or algorithms, while being able to reuse the other parts for evaluation.

This package also includes the source code, since this software is meant for the rapid development of such algorithms, not so much for end users.


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Licensing

LicenseVerified byVerified onNotes
AGPLv3orlaterDebian20 March 2013



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Resources and communication

Audience Resource type URI
Download http://elki.dbs.ifi.lmu.de/


Software prerequisites



Entry



Date 2013-03-20
Source Debian import
Source link http://packages.debian.org/sid/elki

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The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.


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