@InProceedings{CarvalhoSantBins:2019:DiHiCl,
               author = "Carvalho, Naiallen Carolyne Rodrigues Lima and Sant'Anna, Sidnei 
                         Jo{\~a}o Siqueira and Bins, Leonardo Sant'Anna",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Divisive hierarchical clustering for PolSAR images",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Santos, R. D. C. and Queiroz, G. R.",
         organization = "Workshop de Computa{\c{c}}{\~a}o Aplicada, 19. (WORCAP)",
             abstract = "We propose a novel algorithm for clustering data from PolSAR 
                         images. The inspiration for this algorithm came from the Bisecting 
                         K-Means clustering algorithm. We divide the dataset into two dummy 
                         clusters using the plan over the PCA First Component as the 
                         frontier, the mean value of each clusters will be the initial 
                         centroid. After that, the Bisecting is performed using the 
                         stochastic distance of Bhattacharya. We compare the proposed 
                         algorithm with the regular Bisecting K-means. To assess the 
                         performance of our algorithm, a Monte Carlo simulation was 
                         performed and the results suggest that our algorithm had a better 
                         classification performance.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "17-19 set. 2019",
             language = "en",
           targetfile = "carvalho_divisive.pdf",
        urlaccessdate = "25 abr. 2024"
}