ELKI: A Software System for Evaluation of Subspace Clustering Algorithms

  • Elke Achtert
  • Hans-Peter Kriegel
  • Arthur Zimek
Conference paper

DOI: 10.1007/978-3-540-69497-7_41

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5069)
Cite this paper as:
Achtert E., Kriegel HP., Zimek A. (2008) ELKI: A Software System for Evaluation of Subspace Clustering Algorithms. In: Ludäscher B., Mamoulis N. (eds) Scientific and Statistical Database Management. SSDBM 2008. Lecture Notes in Computer Science, vol 5069. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Elke Achtert
    • 1
  • Hans-Peter Kriegel
    • 1
  • Arthur Zimek
    • 1
  1. 1.Institute for InformaticsLudwig-Maximilians-Universität München 

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