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On Difference of Convex Optimization to Visualize Statistical Data and Dissimilarities

Publication: Research - peer-reviewArticle in proceedings

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.

Publication information

Original languageEnglish
Title of host publicationProceedings of the XIII Global Optimization Workshop. GOW ’16
EditorsAna Maria A. C. Rocha, M. Fernanda P. Costa, Edite M. G. P. Fernandes
Place of PublicationBraga
PublisherUniversity of Minho
Publication date2016
Pages89–92
ISBN (print)9789892067643
StatePublished - 2016
Event - Braga, Portugal

Workshop

WorkshopThe 13th Global Optimization Workshop. GOV '16
Nummer13
LocationUniversity of Minho
LandPortugal
ByBraga
Periode04/09/201608/09/2016
Internetadresse

    Keywords

  • DC programming, Visualization

ID: 45278428