IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v20y1995i2p141-157.html
   My bibliography  Save this article

Projection pursuit discriminant analysis

Author

Listed:
  • Polzehl, Jorg

Abstract

No abstract is available for this item.

Suggested Citation

  • Polzehl, Jorg, 1995. "Projection pursuit discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 20(2), pages 141-157, August.
    • Handle: RePEc:eee:csdana:v:20:y:1995:i:2:p:141-157
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-9473(94)00035-H
    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. R. O'Neill, 1971. "Function Minimization Using a Simplex Procedure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 20(3), pages 338-345, November.
    2. POLZEHL , Jörg, 1993. "Projection Pursuit Discriminant Analysis," LIDAM Discussion Papers CORE 1993020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    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. Calo, Daniela G., 2007. "Gaussian mixture model classification: A projection pursuit approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 471-482, September.
    2. Röhl, Michael C. & Weihs, Claus, 1999. "Direct minimization of error rates in multivariate classification," Technical Reports 1999,43, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Montanari, Angela & Calo, Daniela G. & Viroli, Cinzia, 2008. "Independent factor discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3246-3254, February.
    4. Ju Ahn & Heike Hofmann & Dianne Cook, 2003. "A Projection Pursuit Method on the multidimensional squared Contingency Table," Computational Statistics, Springer, vol. 18(3), pages 605-626, September.
    5. Michael C. Röhl & Claus Weihs & Winfried Theis, 2002. "Direct Minimization of Error Rates in Multivariate Classification," Computational Statistics, Springer, vol. 17(1), pages 29-46, March.
    6. Klinke, S. & Grassmann, J., 1998. "Projection pursuit regression and neural networks," SFB 373 Discussion Papers 1998,17, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    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.

      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:20:y:1995:i:2:p:141-157. 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/csda .

      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.