2017-05-022017-05-022017Carrizosa Priego, E.J., Guerrero Lozano, V. y Romero Morales, M.D. (2017). Visualizing data as objects by DC (difference of convex) optimization. Mathematical Programming, 1-22.0025-56101436-4646http://hdl.handle.net/11441/59073In this paper we address the problem of visualizing in a bounded region a set of individuals, which has attached a dissimilarity measure and a statistical value, as convex objects. This problem, which extends the standard Multidimensional Scaling Analysis, is written as a global optimization problem whose objective is the difference of two convex functions (DC). Suitable DC decompositions allow us to use the Difference of Convex Algorithm (DCA) in a very efficient way. Our algorithmic approach is used to visualize two real-world datasets.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Data visualizationDC functionsDC algorithmMultidimensional scaling analysisinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1007/s10107-017-1156-1