IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v146y2003i1p19-34.html
   My bibliography  Save this article

Minimization subproblems and heuristics for an applied clustering problem

Author

Listed:
  • Birgin, E. G.
  • Martinez, J. M.
  • Ronconi, D. P.

Abstract

No abstract is available for this item.

Suggested Citation

  • Birgin, E. G. & Martinez, J. M. & Ronconi, D. P., 2003. "Minimization subproblems and heuristics for an applied clustering problem," European Journal of Operational Research, Elsevier, vol. 146(1), pages 19-34, April.
    • Handle: RePEc:eee:ejores:v:146:y:2003:i:1:p:19-34
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(02)00208-4
    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. Struyf, Anja & Hubert, Mia & Rousseeuw, Peter J., 1997. "Integrating robust clustering techniques in S-PLUS," Computational Statistics & Data Analysis, Elsevier, vol. 26(1), pages 17-37, November.
    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. Ja-Shen Chen & Russell K H Ching & Yi-Shen Lin, 2004. "An extended study of the K-means algorithm for data clustering and its applications," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(9), pages 976-987, September.
    2. José Martínez, 2012. "Generalized order-value optimization," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(1), pages 75-98, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dario Krpan & Jonathan E. Booth & Andreea Damien, 2023. "The positive–negative–competence (PNC) model of psychological responses to representations of robots," Nature Human Behaviour, Nature, vol. 7(11), pages 1933-1954, November.
    2. Aloyce R Kaliba & Kizito Mazvimavi & Theresia L Gregory & Frida M Mgonja & Mary Mgonja, 2018. "Factors affecting adoption of improved sorghum varieties in Tanzania under information and capital constraints," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-21, December.
    3. Song, Seongjoo & Nicolae, Dan L. & Song, Jongwoo, 2010. "Estimating the mixing proportion in a semiparametric mixture model," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2276-2283, October.
    4. Slaets, Leen & Claeskens, Gerda & Hubert, Mia, 2012. "Phase and amplitude-based clustering for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2360-2374.
    5. Ghosh Samiran & Townsend Jeffrey P., 2015. "H-CLAP: hierarchical clustering within a linear array with an application in genetics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(2), pages 125-141, April.
    6. Pison, Greet & Struyf, Anja & Rousseeuw, Peter J., 1999. "Displaying a clustering with CLUSPLOT," Computational Statistics & Data Analysis, Elsevier, vol. 30(4), pages 381-392, June.
    7. Ahmed Albatineh & Magdalena Niewiadomska-Bugaj, 2011. "MCS: A Method for Finding the Number of Clusters," Journal of Classification, Springer;The Classification Society, vol. 28(2), pages 184-209, July.
    8. Karina Acosta & Yuri Reina-Aranza, 2023. "Categorías municipales en Colombia: Avanzando hacia un modelo de descentralización asimétrica," Documentos de trabajo sobre Economía Regional y Urbana 321, Banco de la Republica de Colombia.
    9. Leisch, Friedrich, 2006. "A toolbox for K-centroids cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 526-544, November.
    10. Abellanas, Manuel & Claverol, Merce & Hurtado, Ferran, 2007. "Point set stratification and Delaunay depth," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2513-2530, February.

    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:ejores:v:146:y:2003:i:1:p:19-34. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.