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@InProceedings{PaulovichOlivMing:2007:FlToPr,
               author = "Paulovich, Fernando V. and Oliveira, Maria Cristina F. and 
                         Minghim, Rosane",
          affiliation = "Instituto de Ci{\^e}ncias Matem{\'a}ticas e de 
                         Computa{\c{c}}{\~a}o, Universidade de S{\~a}o Paulo and 
                         Instituto de Ci{\^e}ncias Matem{\'a}ticas e de 
                         Computa{\c{c}}{\~a}o, Universidade de S{\~a}o Paulo and 
                         Instituto de Ci{\^e}ncias Matem{\'a}ticas e de 
                         Computa{\c{c}}{\~a}o, Universidade de S{\~a}o Paulo",
                title = "The Projection Explorer: A Flexible Tool for Projection-based 
                         Multidimensional Visualization",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Multidimensional Projection, Information Visualization, 
                         Multidimensional Visualization Tool, Document Collections Visual 
                         Representation.",
             abstract = "Multidimensional projections map data points, defined in a 
                         high-dimensional data space, into a 1D, 2D or 3D representation 
                         space. Such a mapping may be typically achieved with dimensional 
                         reduction, clustering, or force directed point placement. 
                         Projections can be displayed and navigated by data analysts by 
                         means of visual representations, which may vary from points on a 
                         plane to graphs, surfaces or volumes. Typically, projections 
                         strive to preserve distance relationships amongst data points, as 
                         defined in the original space. Information loss is inevitable and 
                         the projection approach defines the extent to which the distance 
                         preserving goal is attained. We introduce PEx - the Projection 
                         Explorer - a visualization tool for mapping and exploration of 
                         high-dimensional data via projections. A set of examples - on both 
                         structured (table) and unstructured (text) data - illustrate how 
                         projection based visualizations, coupled with appropriate 
                         exploration tools, offer a flexible set-up for multidimensional 
                         data exploration. The projections in PEx handle relatively large 
                         data sets at a computational cost adequate to user interaction.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "PaulovichOliveiraMinghim-ProjectionExplorer.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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