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International Symposium on Distributed Computing and Artificial Intelligence pp 423–431Cite as

Self-organized Clustering and Classification: A Unified Approach via Distributed Chaotic Computing

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 91))

Abstract

The paper describes a unified approach to solve clustering and classification problems by means of oscillatory neural networks with chaotic dynamics. It is discovered that self-synchronized clusters once formed can be applied to classify objects. The advantages of distributed clusters formation in comparison to centers of clusters estimation are demonstrated. New approach to clustering on-the-fly is proposed.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, St. Petersburg State Polytechnical University, Russia, 194021, St.Petersburg, Politechnicheskaya 21

    Elena N. Benderskaya

  2. Graduate School of Management, St. Petersburg State University, Russia, 199004, St.Petersburg, Volkhovsky Per. 3

    Sofya V. Zhukova

Authors
  1. Elena N. Benderskaya
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  2. Sofya V. Zhukova
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Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence (SNIRE), P.O. Box 2259, 98071-2259, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computing Science and Control, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan M. Corchado

  3. Department of Computing Science Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Sara Rodríguez González  & Juan F. De Paz Santana  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Benderskaya, E.N., Zhukova, S.V. (2011). Self-organized Clustering and Classification: A Unified Approach via Distributed Chaotic Computing. In: Abraham, A., Corchado, J.M., González, S.R., De Paz Santana, J.F. (eds) International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19934-9_54

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  • DOI: https://doi.org/10.1007/978-3-642-19934-9_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19933-2

  • Online ISBN: 978-3-642-19934-9

  • eBook Packages: EngineeringEngineering (R0)

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