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Improving fuzzy c-means algorithm using particle swarm optimalization and fuzzy c-means++

  1. TitleImproving fuzzy c-means algorithm using particle swarm optimalization and fuzzy c-means++
    Author infoOľga Chovancová, Lucia Piatriková, Adam Dudáš
    Author Chovancová Oľga (65%)
    Co-authors Piatriková Lucia (1%)
    Dudáš Adam 1992- (34%)
    Source document Information and Digital Technologies 2019 : proceedings of the international conference. Pp. 173-179. - Danvers : Institute of Electrical and Electronics Engineers, 2019 ; Information and Digital Technologies 2019 medzinárodná konferencia
    NotePríspevok je evidovaný v databáze Scopus.
    Keywords zhlukovacie algoritmy - clustering algorithms   fuzzy clustering  
    Form. Descr.články - journal articles
    LanguageEnglish
    CountrySlovak Republic
    Public work category AFD
    No. of Archival Copy48757
    Repercussion categoryALJARAH, I. - HABIB, M. - NUJOOM, R. - FARIS, H. - MIRJALILI, S. A comprehensive review of evaluation and fitness measures for evolutionary data clustering. In Evolutionary data clustering : algorithms and applications. Algorithms for intelligent systems. Springer : Singapore, 2021. ISBN 978-981-33-4190-6, 23-71.
    KVET, Michal - ČEREŠŇÁK, Roman - ŠALGOVÁ, Veronika. Use of machine learning for the unknown values in database transformation processes. In 2021 Communication and information technologies conference proceedings, KIT 2021 : 11th international scientific conference, Vysoké Tatry, 13th-15th October 2021. New York : IEEE - Institute of electrical and electronics engineers, 2021. ISBN 978-1-6654-2879-8, pp. [1-7].
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
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Number of the records: 1  

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