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Clustering by Mode Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00328456" target="_blank" >RIV/67985556:_____/09:00328456 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clustering by Mode Estimation

  • Original language description

    In this contribution we introduce a clustering scheme based on mode boundary detection procedures. Modes are characterized as compact regions of the data space with higher densities than their surrounding. A mode boundary as defined in this approach is an area of large local changes in the probability density functions. Examples of the performance of the clustering based on the so-obtained mode boundaries are given using artificially generated data sets.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IEEE - 7th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence and Informatics

  • ISBN

    978-1-4244-3802-0

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Slovakia

  • Place of publication

    Košice

  • Event location

    Herlany

  • Event date

    Jan 30, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article