IDEAS home Printed from https://ideas.repec.org/a/spr/jclass/v22y2005i2p287-310.html
   My bibliography  Save this article

Analysis of Global k-Means, an Incremental Heuristic for Minimum Sum-of-Squares Clustering

Author

Listed:
  • Pierre Hansen
  • Eric Ngai
  • Bernard K. Cheung
  • Nenad Mladenovic

Abstract

No abstract is available for this item.

Suggested Citation

  • Pierre Hansen & Eric Ngai & Bernard K. Cheung & Nenad Mladenovic, 2005. "Analysis of Global k-Means, an Incremental Heuristic for Minimum Sum-of-Squares Clustering," Journal of Classification, Springer;The Classification Society, vol. 22(2), pages 287-310, September.
    • Handle: RePEc:spr:jclass:v:22:y:2005:i:2:p:287-310
    DOI: 10.1007/s00357-005-0018-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00357-005-0018-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00357-005-0018-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Aloise & Nielsen Castelo Damasceno & Nenad Mladenović & Daniel Nobre Pinheiro, 2017. "On Strategies to Fix Degenerate k-means Solutions," Journal of Classification, Springer;The Classification Society, vol. 34(2), pages 165-190, July.
    2. Daniel Aloise & Pierre Hansen, 2011. "Evaluating a branch-and-bound RLT-based algorithm for minimum sum-of-squares clustering," Journal of Global Optimization, Springer, vol. 49(3), pages 449-465, March.
    3. Luyao Wang & Hong Fan & Tianren Gong, 2018. "The Consumer Demand Estimating and Purchasing Strategies Optimizing of FMCG Retailers Based on Geographic Methods," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    4. Carrizosa, Emilio & Mladenović, Nenad & Todosijević, Raca, 2013. "Variable neighborhood search for minimum sum-of-squares clustering on networks," European Journal of Operational Research, Elsevier, vol. 230(2), pages 356-363.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jclass:v:22:y:2005:i:2:p:287-310. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.