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    • DEP24 - Artículos de revista
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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/32022

    Título
    A Reweighting Approach to Robust Clustering
    Autor
    Dotto, Francesco
    Farcomeni, Alessio
    García Escudero, Luis Ángeluntranslated
    Mayo Iscar, Agustínuntranslated
    Año del Documento
    2018
    Documento Fuente
    Statistics and Computing, Vol. 28, 477–493
    Abstract
    An iteratively reweighted approach for robust clustering is presented in this work. The method is initialized with a very robust clustering partition based on an high trimming level. The initial partition is then refined to reduce the number of wrongly discarded observations and substantially increase efficiency. Simulation studies and real data examples indicate that the final clustering solution is both robust and efficient, and naturally adapts to the true underlying contamination level.
    Revisión por pares
    SI
    Patrocinador
    Spanish Ministerio de Economía y Competitividad, grant MTM2017-86061-C2-1-P, and by Consejería de Educación de la Junta de Castilla y León and FEDER, grant VA005P17 and VA002G18.
    Idioma
    spa
    URI
    http://uvadoc.uva.es/handle/10324/32022
    Derechos
    openAccess
    Collections
    • DEP24 - Artículos de revista [39]
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