@techreport{f1b533604b1d454a9f241e662204f113,

title = "Visualizing Data as Objects by DC (Difference of Convex) Optimization",

abstract = "In 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. 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 DCA algorithm in a very efficient way. Our algorithmic approach is used to visualize two real-world datasets.",

keywords = "Data Visualization, DC functions, DC algorithm, Multidimensional Scaling Analysis , Data Visualization, DC functions, DC algorithm, Multidimensional Scaling Analysis ",

author = "Emilio Carrizosa and Vanesa Guerrero and {Romero Morales}, Dolores",

year = "2015",

language = "English",

series = "Optimization Online",

publisher = "Mathematical Optimization Society",

number = "5227",

address = "United States",

type = "WorkingPaper",

institution = "Mathematical Optimization Society",

}