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Celotno besedilo
  • Topological methods in data analysis and visualization II [Elektronski vir] : theory, algorithms, and applications
    When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these ... feature-extraction methods, topological ones stand out due to their solid mathematical foundation. Topologically defined structures--as found in scalar, vector and tensor fields--have proven their merit in a wide range of scientific domains, and scientists have found them to be revealing in subjects such as physics, engineering, and medicine. Full of state-of-the-art research and contemporary hot
    Vrsta gradiva - e-knjiga
    Založništvo in izdelava - Heidelberg ; New York : Springer-Verlag Berlin Heidelberg, ©2012
    Jezik - angleški
    ISBN - 978-3-642-23175-9; 3-642-23175-6; 3-642-23174-8; 978-3-642-23174-2
    COBISS.SI-ID - 1544757215

    Povezava(-e):

    SpringerLink e-books 2008-2012

    Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij

    Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions


    DOI

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