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Clumps, Clusters and Classification

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Computer Systems

Part of the book series: Monographs in Computer Science ((MCS))

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References

  1. Bernardo, J.M., and Smith, A.F.M., Bayesian theory, Wiley, 1994.

    Google Scholar 

  2. Bishop, C.M., Neural networks for pattern recognition, Oxford University Press. 1995.

    Google Scholar 

  3. Corduneanu, A., and Bishop, C.M., ‘Variational bayesian model selection for mixture distributions,’ in Proc. of the 8th International Conference on Artificial Intelligence and Statistics, 2001, T. Richardson and T. Jaakkola (eds.), Morgan Kaufmann, pp. 27–34.

    Google Scholar 

  4. Jordan, M.I., Ghahramani, Z., Jaakkola, T.S., and Saul, L.K., ‘An Introduction to Variational Methods for Graphical Models,’ in Learning in Graphical Models, M. I. Jordan (ed.), MIT Press, 1999.

    Google Scholar 

  5. Needham, R.M., ‘Automatic classification: models and problems,’ in Mathematics and Computer Science in Biology and Medicine, The Medical Research Council, London, 1965, pp. 111–114.

    Google Scholar 

  6. Needham, R.M., ‘Applications of the theory of clumps,’ Mechanical Translation, vol. 8, 1965, pp. 113–127.

    Google Scholar 

  7. Perona, P., and Freeman, W.T., ‘A factorization approach to grouping,’ in Proc. Of the 5th European Conference on Computer Vision, 1998, H. Burkardt and B. Neumann (eds.), pp. 655–670.

    Google Scholar 

  8. Rissanen, J., ‘Modelling by shortest data description,’ Automatica, vol. 14, 1978, pp. 465–471.

    Article  MATH  Google Scholar 

  9. Shannon, C., ‘A mathematical theory of communication,’ Bell System Technical Journal, vol. 27, pp. 379–423 and 623–656.

    Google Scholar 

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Authors
  1. Christopher M. Bishop
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Editor information

Editors and Affiliations

  1. Microsoft Research Ltd., Roger Needham Building 7 JJ Thomson Avenue, Cambridge, CB3 0FB, UK

    Andrew Herbert

  2. Computer Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0FD, UK

    Karen Spärck Jones

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© 2004 Springer-Verlag New York, Inc.

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Bishop, C.M. (2004). Clumps, Clusters and Classification. In: Herbert, A., Jones, K.S. (eds) Computer Systems. Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/0-387-21821-1_6

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  • DOI: https://doi.org/10.1007/0-387-21821-1_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-20170-2

  • Online ISBN: 978-0-387-21821-2

  • eBook Packages: Springer Book Archive

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