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Equi-sized, Homogeneous Partitioning

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

We consider the problem of partitioning a data set of n data objects into c homogeneous subsets (that is, data objects in the same subset should be similar to each other), such that each subset is of approximately the same size. This problem has applications wherever a population has to be distributed among a limited number of resources and the workload for each resource shall be balanced. We modify an existing clustering algorithm in this respect, present some empirical evaluation and discuss the results.

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References

  1. Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs (1988)

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  2. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)

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  3. Höppner, F., Klawonn, F., Kruse, R., Runkler, T.A.: Fuzzy Cluster Analysis. John Wiley & Sons, Chichester (1999)

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  4. Klawonn, F., Höppner, F.: What is fuzzy about fuzzy clustering? – Understanding and improving the concept of the fuzzifier. In: Advances in Intelligent Data Analysis, pp. 254–264. Springer, Heidelberg (2003)

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Applied Sciences Braunschweig /Wolfenbüttel, Salzdahlumer Str. 46/48, 38302, Wolfenbüttel, Germany

    Frank Klawonn

  2. Department of Economics, University of Applied Sciences Braunschweig /Wolfenbüttel, Robert Koch Platz 10-14, 38440, Wolfsburg, Germany

    Frank Höppner

Authors
  1. Frank Klawonn
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  2. Frank Höppner
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Klawonn, F., Höppner, F. (2006). Equi-sized, Homogeneous Partitioning. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_9

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  • DOI: https://doi.org/10.1007/11893004_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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