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Improvements Quality of Kohonen Maps Using Dimension Reduction Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076608" target="_blank" >RIV/61989100:27240/10:86076608 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improvements Quality of Kohonen Maps Using Dimension Reduction Methods

  • Original language description

    Mean square error is usual method to measure quality of self-organizing map (SOM). MSE brings good theoretical description about learning process, but its rather hard to decide what MSE is small enough, or when learning should be stoped. A new techniquefor measurement of quality of SOM using singular value decomposition will be presented in this paper.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA205%2F09%2F1079" target="_blank" >GA205/09/1079: Methods of Artificial Inteligence in GIS</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Self-Organizing Maps

  • ISBN

    978-953-307-074-2

  • Number of pages of the result

    14

  • Pages from-to

  • Number of pages of the book

    430

  • Publisher name

    In-tech

  • Place of publication

    Vukovar

  • UT code for WoS chapter