IDEAS home Printed from https://ideas.repec.org/a/scn/031903/16414848.html
   My bibliography  Save this article

Improved and accelerated multiresolution linear algorithm for data clustering

Author

Listed:
  • SMIRNOV ARTHUR A.

    (University of Illinois at Chicago, Chicago, IL, USA)

  • SHARLAY VALERY V.

    (St Petersburg State University of Aerospace Instrumentation)

  • MEHTA PARTH J.

    (Amazon USA Seattle, State of Washington, USA)

Abstract

Данная статья описывает важные проблемы, связанные с базой данных проблемы кластеризации. Проблемы кластеризации являются довольно-таки важными на протяжении долгого времени не только в разделе управления базами данных, но и в мерах защиты информации. Мы описываем, как был разработан данный метод. Мы разработали новый метод для локальной корреляции кластеризации.

Suggested Citation

  • Smirnov Arthur A. & Sharlay Valery V. & Mehta Parth J., 2014. "Improved and accelerated multiresolution linear algorithm for data clustering," Научный журнал НИУ ИТМО. Серия «Экономика и экологический менеджмент», CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики», issue 3, pages 693-698.
    • Handle: RePEc:scn:031903:16414848
    as

    Download full text from publisher

    File URL: http://cyberleninka.ru/article/n/improved-and-accelerated-multiresolution-linear-algorithm-for-data-clustering
    Download Restriction: no
    ---><---

    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:scn:031903:16414848. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CyberLeninka (email available below). General contact details of provider: http://cyberleninka.ru/ .

    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.