IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v48y1983i4p541-552.html
   My bibliography  Save this article

Some types of clustering with relational constraints

Author

Listed:
  • Anuška Ferligoj
  • Vladimir Batagelj

Abstract

No abstract is available for this item.

Suggested Citation

  • Anuška Ferligoj & Vladimir Batagelj, 1983. "Some types of clustering with relational constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 541-552, December.
  • Handle: RePEc:spr:psycho:v:48:y:1983:i:4:p:541-552 DOI: 10.1007/BF02293878
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02293878
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    as
    1. Richard Millward, 1969. "Derivations of learning statistics from absorbing Markov chains," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 215-232, June.
    2. Harley Bernbach, 1966. "Derivation of learning process statistics for a general markov model," Psychometrika, Springer;The Psychometric Society, pages 225-234.
    3. Peter Polson, 1970. "Statistical methods for a general theory of all-or-none learning," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 51-72, March.
    4. James Greeno & Richard Millward & Coleman Merryman, 1971. "Matrix analysis of identifiability of some finite markov models," Psychometrika, Springer;The Psychometric Society, pages 389-408.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Juan Carlos Duque & Raul Ramos Lobo & Jordi Surinach Caralt, 2004. "Design of Homogeneous Territorial Units: A Methodological Proposal," Working Papers in Economics 115, Universitat de Barcelona. Espai de Recerca en Economia.
    2. A. Ferligoj & V. Batagelj, 1992. "Direct multicriteria clustering algorithms," Journal of Classification, Springer;The Classification Society, vol. 9(1), pages 43-61, January.
    3. Gordon, A. D., 1996. "A survey of constrained classification," Computational Statistics & Data Analysis, Elsevier, pages 17-29.
    4. Renato Coppi & Pierpaolo D’Urso & Paolo Giordani, 2010. "A Fuzzy Clustering Model for Multivariate Spatial Time Series," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 54-88, March.
    5. Geert Soete & J. Carroll & Wayne DeSarbo, 1987. "Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 155-173, September.
    6. Wayne DeSarbo & Vijay Mahajan, 1984. "Constrained classification: The use of a priori information in cluster analysis," Psychometrika, Springer;The Psychometric Society, pages 187-215.

    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:psycho:v:48:y:1983:i:4:p:541-552. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

    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.