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Algorithms for Time Series Comparison

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00179292" target="_blank" >RIV/62156489:43110/11:00179292 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Algorithms for Time Series Comparison

  • Original language description

    In this paper we compare results of four chosen algorithms suitable for the time series clustering. The comparison is made in sense of agreement between clustering results represented in a special form of confusion matrix (matching matrix). We use a musical data, specifically music excerpts volume development, as a time series instances. This musical characteristic is used in computer-aided tool for musical analysis developed by our group.

  • 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

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Recent Research in Applied Informatics

  • ISBN

    978-1-61804-034-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    217-221

  • Publisher name

    WSEAS Press

  • Place of publication

    Prague

  • Event location

    Prague, Czech Republic

  • Event date

    Jan 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article