elki 0.6.0-2 source package in Ubuntu

Changelog

elki (0.6.0-2) unstable; urgency=low


  * Drop OpenJDK-6 from dependencies: ELKI 0.6 needs OpenJDK7+

 -- Erich Schubert <email address hidden>  Thu, 23 Jan 2014 20:07:04 +0100

Upload details

Uploaded by:
Erich Schubert
Uploaded to:
Sid
Original maintainer:
Erich Schubert
Architectures:
all
Section:
science
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Trusty release universe science

Builds

Trusty: [FULLYBUILT] i386

Downloads

File Size SHA-256 Checksum
elki_0.6.0-2.dsc 1.0 KiB 87d1e5533aa47f4205fd148bd837567f51cec6e04a58df793c87e640ec6a3816
elki_0.6.0.orig.tar.bz2 1.2 MiB 6d17d37991c5deecb279eb37a33917d330955d2d496c5d0f35f823fec42cbf1b
elki_0.6.0-2.debian.tar.xz 15.0 KiB 255dc7fc446b3e4a9be98cf61107ead35cdb4ceff321aa78439e2d2d2bf152ab

Available diffs

No changes file available.

Binary packages built by this source

elki: Data mining algorithm development framework

 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.