ELKI: A software system for evaluation of subspace clustering algorithms

Elke Achtert*, Hans Peter Kriegel, Arthur Zimek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition - if at all - with one or two competitors or even with a so called "naïve" ad hoc solution. For the prolific field of subspace clustering, we propose a software framework implementing many prominent algorithms and, thus, allowing for a fair and thorough evaluation. Furthermore, we describe how new algorithms for new applications can be incorporated in the framework easily.

Original languageEnglish
Title of host publicationScientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings
EditorsB. Ludäscher, N. Mamoulis
PublisherSpringer
Publication date14. Aug 2008
Pages580-585
ISBN (Print)978-3-540-69476-2
ISBN (Electronic)978-3-540-69497-7
DOIs
Publication statusPublished - 14. Aug 2008
Externally publishedYes
Event20th International Conference on Scientific and Statistical Database Management, SSDBM 2008 - Hong Kong, China
Duration: 9. Jul 200811. Jul 2008

Conference

Conference20th International Conference on Scientific and Statistical Database Management, SSDBM 2008
CountryChina
CityHong Kong
Period09/07/200811/07/2008
SeriesLecture Notes in Computer Science
Volume5069
ISSN0302-9743

Fingerprint

Clustering algorithms
Data mining

Cite this

Achtert, E., Kriegel, H. P., & Zimek, A. (2008). ELKI: A software system for evaluation of subspace clustering algorithms. In B. Ludäscher, & N. Mamoulis (Eds.), Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings (pp. 580-585). Springer. Lecture Notes in Computer Science, Vol.. 5069 https://doi.org/10.1007/978-3-540-69497-7_41
Achtert, Elke ; Kriegel, Hans Peter ; Zimek, Arthur. / ELKI : A software system for evaluation of subspace clustering algorithms. Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. editor / B. Ludäscher ; N. Mamoulis. Springer, 2008. pp. 580-585 (Lecture Notes in Computer Science, Vol. 5069).
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Achtert, E, Kriegel, HP & Zimek, A 2008, ELKI: A software system for evaluation of subspace clustering algorithms. in B Ludäscher & N Mamoulis (eds), Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. Springer, Lecture Notes in Computer Science, vol. 5069, pp. 580-585, 20th International Conference on Scientific and Statistical Database Management, SSDBM 2008, Hong Kong, China, 09/07/2008. https://doi.org/10.1007/978-3-540-69497-7_41

ELKI : A software system for evaluation of subspace clustering algorithms. / Achtert, Elke; Kriegel, Hans Peter; Zimek, Arthur.

Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. ed. / B. Ludäscher; N. Mamoulis. Springer, 2008. p. 580-585 (Lecture Notes in Computer Science, Vol. 5069).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Achtert E, Kriegel HP, Zimek A. ELKI: A software system for evaluation of subspace clustering algorithms. In Ludäscher B, Mamoulis N, editors, Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. Springer. 2008. p. 580-585. (Lecture Notes in Computer Science, Vol. 5069). https://doi.org/10.1007/978-3-540-69497-7_41