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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2012: Artificial Intelligence and Soft Computing pp 327–334Cite as

eBi – The Algorithm for Exact Biclustering

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

Abstract

This article presents an algorithm for finding exact and overlapping biclusters, all covered by the same discrete value. It can be very useful to analyse data where the key task is finding which objects (elements in rows) across subset of attributes (elements in columns) have the same value in case of discrete data or belong to this same discrete state in case of continuous data.

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References

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Author information

Authors and Affiliations

  1. Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Magdalena Stawarz & Marcin Michalak

Authors
  1. Magdalena Stawarz
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  2. Marcin Michalak
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Stawarz, M., Michalak, M. (2012). eBi – The Algorithm for Exact Biclustering. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_39

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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