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@InProceedings{SouzaSantFerr:2019:FeViBa,
               author = "Souza, Felipe Carvalho de and Santos, Rafael Duarte Coelho dos and 
                         Ferreira, Karine Reis",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "GGSOM: ferramenta de visualiza{\c{c}}{\~a}o baseada em mapas 
                         auto-organiz{\'a}veis",
            booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "Analysis of multidimensional and time series data is useful and 
                         pertinent to several different applications, being a challenge due 
                         to the volume and complexity of the data. A possible approach for 
                         analysis of this kind of data is to use clustering algorithms to 
                         reduce the dimensionality of the data. This paper presents a tool 
                         for clustering and visualization of data, called ggsom, which uses 
                         a technique for data dimensionality reduction through projection 
                         of the data in a smaller number of dimensions by the Kohonens 
                         Self-Organizing Map. The tool is evaluated with data from time 
                         series of vegetation coverage from Bahia state.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFHMQ8",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFHMQ8",
           targetfile = "310-312.pdf",
        urlaccessdate = "29 mar. 2024"
}


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