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@InProceedings{SilvaTozz:1996:AlGeGe,
               author = "Silva, Jos{\'e} Ricardo Porto and Tozzi, Cl{\'e}sio Luis",
                title = "Um algoritmo geom{\'e}trico para gera{\c{c}}{\~a}o de 
                         fun{\c{c}}{\~o}es discriminantes",
            booktitle = "Anais...",
                 year = "1996",
               editor = "Velho, Luiz and Albuquerque, Arnaldo de and Lotufo, Roberto A.",
                pages = "31--38",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 9. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "cluster analysis, piecewise linear discriminant functions, pattern 
                         recognition.",
             abstract = "Cluster analysis is a classification method which divides the 
                         pattern space into regions based on similary measure of the 
                         feature vectors. It is used for nonsupervised learning to further 
                         classification of inknown elements. There exist many clustering 
                         algorithms; in general they have limitations about clusters shape 
                         or demand the pre-definition of convergence parameters. This work 
                         presents a technique to quickly determine piecewise linear 
                         discriminant functions using geometric characteristics of subsets 
                         on the pattern space. Examples with synthetic and real data are 
                         included.",
  conference-location = "Caxambu",
      conference-year = "29 out. - 1 nov. 1996",
                 isbn = "85-244-0103-6",
             language = "pt",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; UFMG - 
                         Universidade Federal de Minas Gerais",
                  ibi = "83LX3pFwXQZW44Lb/cGwSS",
                  url = "http://urlib.net/ibi/83LX3pFwXQZW44Lb/cGwSS",
           targetfile = "a01.pdf",
                 type = "Reconhecimento de Padr{\~o}es",
        urlaccessdate = "2021, Dec. 09"
}


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