ELKI: A large open-source library for data analysis: ELKI Release 0.7.5 "Heidelberg"

Erich Schubert, Arthur Zimek

Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

Resumé

This paper documents the release of the ELKI data mining framework, version 0.7.5. ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions of additional methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms. We will first outline the motivation for this release, the plans for the future, and then give a brief overview over the new functionality in this version. We also include an appendix presenting an overview on the overall implemented functionality.
OriginalsprogEngelsk
Artikelnummerabs/1902.03616
Tidsskriftarxiv.org
Antal sider134
StatusUdgivet - 10. feb. 2019

Fingeraftryk

Data mining
Cluster analysis
Benchmarking
Scalability
Students

Citer dette

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ELKI: A large open-source library for data analysis : ELKI Release 0.7.5 "Heidelberg". / Schubert, Erich; Zimek, Arthur.

I: arxiv.org, 10.02.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

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