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Hierarchial Clustering

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Recommended Reading

  1. Guha S., Rastogi R., and Shim K. CURE: an efficient clustering algorithm for large databases. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1998, pp. 73–84.

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  2. Guha S., Rastogi R., and Shim K. ROCK: a robust clustering algorithm for categorical attributes. In Proc. 15th Int. Conf. on Data Engineering, 1999, pp. 512–521.

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  3. Han J. and Kamber M. Data Mining: Concepts and Techniques. Morgan Kaufmann, 2001.

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  4. Karypis G., Han E.-H., and Kumar V. CHAMELEON: a hierarchical clustering algorithm using dynamic modeling. IEEE Comput., 32(8):68–75, 1999.

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  5. Nanopoulos A., Theodoridis Y., and Manolopoulos Y. C 2 P: clustering based on closest pairs. In Proc. 27th Int. Conf. on Very Large Daa Bases, 2001, pp. 331–340.

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  6. Zhang T., Ramakrishnman R., and Livny M. BIRCH: an efficient method for very large databases. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1996, pp. 103–114.

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Author information

Authors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Maria Halkidi

Authors
  1. Maria Halkidi
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Halkidi, M. (2009). Hierarchial Clustering. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_604

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