Paquet : elki (0.7.1-10.1)

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Télécharger le paquet source elki :

Responsable :

Erich Schubert

Ressources externes :

Page d'accueil [elki-project.github.io]

Paquets similaires :

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 contains the compiled ELKI version, and launcher scripts.

Autres paquets associés à elki

dépendances

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suggestions

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dep: default-jre (>= 2:1.8)

Standard Java or Java compatible Runtime
dep: libbatik-java (>= 1.10)

xml.apache.org SVG Library
dep: libsvm3-java

Java API to support vector machine library (libsvm3.jar)
dep: libtrove3-java

high performance collections for java
dep: libxmlgraphics-commons-java

Reusable components used by Batik and FOP

sug: elki-dev

Data mining algorithm development framework - development files
sug: libfop-java

XML formatter driven by XSL Formatting Objects (XSL-FO.) - libs

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Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
all	3 967,7 ko	4 745,0 ko	[liste des fichiers]