IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v21y1996i1p17-29.html
   My bibliography  Save this article

A survey of constrained classification

Author

Listed:
  • Gordon, A. D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Gordon, A. D., 1996. "A survey of constrained classification," Computational Statistics & Data Analysis, Elsevier, vol. 21(1), pages 17-29, January.
  • Handle: RePEc:eee:csdana:v:21:y:1996:i:1:p:17-29
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-9473(95)00005-4
    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

    as
    1. Anuška Ferligoj & Vladimir Batagelj, 1983. "Some types of clustering with relational constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 541-552, December.
    2. Wayne DeSarbo & Vijay Mahajan, 1984. "Constrained classification: The use of a priori information in cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 187-215, June.
    3. J. Carroll & Phipps Arabie, 1983. "Indclus: An individual differences generalization of the adclus model and the mapclus algorithm," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 157-169, June.
    4. Anuška Ferligoj & Vladimir Batagelj, 1982. "Clustering with relational constraint," Psychometrika, Springer;The Psychometric Society, vol. 47(4), pages 413-426, December.
    5. A. Gordon, 1987. "Parsimonious trees," Journal of Classification, Springer;The Classification Society, vol. 4(1), pages 85-101, March.
    6. C R Margules & D P Faith & L Belbin, 1985. "An adjacency constraint in agglomerative hierarchical classifications of geographic data," Environment and Planning A, Pion Ltd, London, vol. 17(3), pages 397-412, March.
    7. J. Carroll & Linda Clark & Wayne DeSarbo, 1984. "The representation of three-way proximity data by single and multiple tree structure models," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 25-74, December.
    8. 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.
    9. N. Sriram, 1990. "Clique optimization: A method to construct parsimonious ultrametric trees from similarity data," Journal of Classification, Springer;The Classification Society, vol. 7(1), pages 33-52, March.
    10. C R Margules & D P Faith & L Belbin, 1985. "An Adjacency Constraint in Agglomerative Hierarchical Classifications of Geographic Data," Environment and Planning A, , vol. 17(3), pages 397-412, March.
    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. Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
    2. Juan Carlos Duque & Raul Ramos Lobo & Manuel Artis Ortuno, 2004. "Spanish unemployment: Normative versus analytical regionalisation procedures," Working Papers in Economics 118, Universitat de Barcelona. Espai de Recerca en Economia.
    3. repec:spr:custns:v:4:y:2017:i:4:d:10.1007_s40547-017-0086-7 is not listed on IDEAS
    4. Juan Carlos Duque & Raúl Ramos, 2004. "Design of homogenous territorial units: a methodological proposal," ERSA conference papers ersa04p6, European Regional Science Association.
    5. Maria da Conceição Rego & Rui Fragoso & Vladimir Bushenkov, 2014. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," ERSA conference papers ersa14p218, European Regional Science Association.
    6. Antoine, V. & Quost, B. & Masson, M.-H. & Denœux, T., 2012. "CECM: Constrained evidential C-means algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 894-914.
    7. Rui Fragoso & Maria Conceição Rego & Vladimir Bushenkov, 2014. "Clustering of territorial areas: A multi-criteria districting problem," CEFAGE-UE Working Papers 2014_02, University of Evora, CEFAGE-UE (Portugal).
    8. Recchia, Anthony, 2010. "Contiguity-Constrained Hierarchical Agglomerative Clustering Using SAS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(c02).
    9. Juan Duque & Manuel Artís & Raúl Ramos, 2006. "The ecological fallacy in a time series context: evidence from Spanish regional unemployment rates," Journal of Geographical Systems, Springer, vol. 8(4), pages 391-410, October.
    10. Juan C. Duque & Xinyue Ye & David C. Folch, 2015. "spMorph: An exploratory space-time analysis tool for describing processes of spatial redistribution," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 629-651, August.
    11. repec:eee:ecomod:v:220:y:2009:i:4:p:451-461 is not listed on IDEAS

    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:eee:csdana:v:21:y:1996:i:1:p:17-29. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.