IDEAS home Printed from
   My bibliography  Save this article

DIVCLUS-T: A monothetic divisive hierarchical clustering method


  • Chavent, Marie
  • Lechevallier, Yves
  • Briant, Olivier


No abstract is available for this item.

Suggested Citation

  • Chavent, Marie & Lechevallier, Yves & Briant, Olivier, 2007. "DIVCLUS-T: A monothetic divisive hierarchical clustering method," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 687-701, October.
  • Handle: RePEc:eee:csdana:v:52:y:2007:i:2:p:687-701

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only.

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

    References listed on IDEAS

    1. Marie Chavent & Yuan Ding & Linghui Fu & Herve Stolowy & Huiwen Wang, 2006. "Disclosure and determinants studies: An extension using the Divisive Clustering Method (DIV)," European Accounting Review, Taylor & Francis Journals, vol. 15(2), pages 181-218.
    2. Y. Wang & H. Yan & C. Sriskandarajah, 1996. "The weighted sum of split and diameter clustering," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 231-248, September.
    3. A. Guénoche & P. Hansen & B. Jaumard, 1991. "Efficient algorithms for divisive hierarchical clustering with the diameter criterion," Journal of Classification, Springer;The Classification Society, vol. 8(1), pages 5-30, January.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Wu, Han-Ming & Tien, Yin-Jing & Chen, Chun-houh, 2010. "GAP: A graphical environment for matrix visualization and cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 767-778, March.
    2. Kim, Jaejik & Billard, L., 2011. "A polythetic clustering process and cluster validity indexes for histogram-valued objects," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2250-2262, July.

    More about this item


    Access and download statistics


    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:eee:csdana:v:52:y:2007:i:2:p:687-701. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Haili He). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.