Piecewise rectangular visualization maps: optimizing areas and similarities between portions

E. Carrizosa, V. Guerrero Lozano, D. Romero Morales

In this talk, we propose the use of MINLP to build visualization maps for a set of individuals which have attached similarities as well a statistical value. In these maps, each individual is represented as a connected portion made of pixels on a grid. The map is built in such a way that distances between portions resemble the similarities between the individuals and the areas of the portions are similar to the statistical value attached to the individuals.

Keywords: Visualization heuristics mixed integer nonlinear programming

Scheduled
W4 Combinatorial Optimization 1
September 30, 2015  5:00 PM
Salón de actos

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