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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.
ELKI-CLI(1) ELKI-CLI(1) NAME elki - ELKI: Data Mining Framework SYNOPSIS elki-cli [options] DESCRIPTION This manual page documents briefly the elki-cli command. elki-cli is the launcher for the ELKI data mining framework CLI. OPTIONS For a complete description, see the ELKI manual. -h, --help more»
ELKI(1) ELKI(1) NAME elki - ELKI: Data Mining Framework SYNOPSIS elki [options] DESCRIPTION This manual page documents briefly the elki command. elki is the launcher for the ELKI data mining framework GUI. OPTIONS For a complete description, see the ELKI manual. -h, --help Show summ more»
elki (0.5.0-1) unstable; urgency=low * New upstream release: 0.5.0 final. -- Erich Schubert <email@example.com> Sat, 30 Jun 2012 00:55:33 +0200 elki (0.5.0~beta2-1) unstable; urgency=low * New upstream beta release. * Needs GNU Trove 3, in NEW. * Build with OpenJDK7, as OpenJDK6 complains. -- Erich Schubert <firstname.lastname@example.org> Sat, 02 Jun 2012 17:47:03 +0200 elki (0.5.0~beta1-1) un more»
Format: http://dep.debian.net/deps/dep5 Upstream-Name: ELKI: Environment for Developing KDD-Applicat more»