E. Carrizosa, V. Guerrero, D. Romero Morales
In this talk 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.
Palabras clave: Data Visualization, DC optimization, Multidimensional Scaling
Programado
L05.1 Grupo de Análisis Multivariante y Clasificación I
5 de septiembre de 2016 11:30
0.02 - Aula de proyectos 1
