IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v26y2011i2p321-340.html
   My bibliography  Save this article

On the fusion of threshold classifiers for categorization and dimensionality reduction

Author

Listed:
  • Hans Kestler
  • Ludwig Lausser
  • Wolfgang Lindner
  • Günther Palm

Abstract

No abstract is available for this item.

Suggested Citation

  • Hans Kestler & Ludwig Lausser & Wolfgang Lindner & Günther Palm, 2011. "On the fusion of threshold classifiers for categorization and dimensionality reduction," Computational Statistics, Springer, vol. 26(2), pages 321-340, June.
  • Handle: RePEc:spr:compst:v:26:y:2011:i:2:p:321-340
    DOI: 10.1007/s00180-011-0243-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00180-011-0243-7
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00180-011-0243-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Ruschhaupt Markus & Huber Wolfgang & Poustka Annemarie & Mansmann Ulrich, 2004. "A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-26, December.
    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. Ludwig Lausser & Florian Schmid & Lyn-Rouven Schirra & Adalbert F. X. Wilhelm & Hans A. Kestler, 2018. "Rank-based classifiers for extremely high-dimensional gene expression data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(4), pages 917-936, December.
    2. Yu-Chuan Chen & Hyejung Ha & Hyunjoong Kim & Hongshik Ahn, 2014. "Canonical Forest," Computational Statistics, Springer, vol. 29(3), pages 849-867, June.
    3. Elena Moltchanova & Myroslava Lesiv & Linda See & Julie Mugford & Steffen Fritz, 2022. "Optimizing Crowdsourced Land Use and Land Cover Data Collection: A Two-Stage Approach," Land, MDPI, vol. 11(7), pages 1-15, June.
    4. Markus Maucher & David Kracht & Steffen Schober & Martin Bossert & Hans Kestler, 2014. "Inferring Boolean functions via higher-order correlations," Computational Statistics, Springer, vol. 29(1), pages 97-115, February.

    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. Boulesteix Anne-Laure, 2006. "Reader's Reaction to "Dimension Reduction for Classification with Gene Expression Microarray Data" by Dai et al (2006)," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 5(1), pages 1-7, June.

    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:compst:v:26:y:2011:i:2:p:321-340. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.