Skip to main content
SpringerLink
Log in

Hierarchical Clustering

  • Reference work entry
  • First Online:
Book cover Encyclopedia of Database Systems

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Guha S, Rastogi R, Shim K. CURE: An efficient clustering algorithm for large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1998. p. 73–84.

    Article  Google Scholar 

  2. Guha S, Rastogi, R, Shim, K. ROCK: a robust clustering algorithm for categorical attributes. In: Proceedings of the 15th International Conference on Data Engineering; 1999. p. 512–21.

    Google Scholar 

  3. Han J, Kamber M. Data mining: concepts and techniques. Morgan Kaufmann; 2001.

    Google Scholar 

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

    Google Scholar 

  5. Nanopoulos A, Theodoridis Y, Manolopoulos Y. C2P: clustering based on closest pairs. In: Proceedings of thw 27th International Conference on Very Large Data Bases; 2001. p. 331–40.

    Google Scholar 

  6. Zhang T, Ramakrishnman R, Livny M. BIRCH: an efficient method for very large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1996. p. 103–14.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Maria Halkidi

Authors
  1. Maria Halkidi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maria Halkidi .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Department of Computer Science and Engineering, The University of California at Riverside, Bourns College of Engineering, Riverside, CA, USA

    Dimitrios Gunopulos

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Halkidi, M. (2018). Hierarchical Clustering. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_604

Download citation

Publish with us

Policies and ethics

Search

Navigation