dc.creatorPagliosa, Paulo
dc.creatorPaulovich, Fernando Vieira
dc.creatorMinghim, Rosane
dc.creatorLevkowitz, Haim
dc.creatorNonato, Luis Gustavo
dc.date.accessioned2016-06-10T18:41:24Z
dc.date.accessioned2018-07-04T17:09:58Z
dc.date.available2016-06-10T18:41:24Z
dc.date.available2018-07-04T17:09:58Z
dc.date.created2016-06-10T18:41:24Z
dc.date.issued2015-02
dc.identifierNeurocomputing, Amsterdam, v. 150, p. 599-610, Feb. 2015
dc.identifier0925-2312
dc.identifierhttp://www.producao.usp.br/handle/BDPI/50305
dc.identifier10.1016/j.neucom.2014.07.072
dc.identifierhttp://dx.doi.org/10.1016/j.neucom.2014.07.072
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1645540
dc.description.abstractAs the number and complexity of visualization techniques have grown, it has be come progressively more difficult to make a decision as to which technique to employ for any given situation or application. A particular case is that of multidimensional data visualization utilizing projections, which have gained much attention lately and are being utilized in a growing number of applications. With their popularity, many new variations of multidimensional projections have been proposed in the literature. Numerical evaluations are varied and are useful, but do not reflect visual properties of projections accurately. In this paper we present Projection Inspector, an approach that contributes to the problem of understanding the difference amongst projections. It is an interactive assessment method that allows a user to explore a “space” of known projection techniques and view their results, as well as to identify the differences between them. In addition, it generates “on-the-fly” new projection techniques via interpolations of existing techniques as the user explores the projection space. We present the theoretical foundations of the projection exploration space and an interactive tool that implements a view of this space. We demonstrate the approach with case studies that demonstrate the need for projection assessment and the value of combining projections into new, better suited, projection alternatives.
dc.languageeng
dc.publisherElsevier
dc.publisherAmsterdam
dc.relationNeurocomputing
dc.rightsCopyright Elsevier B.V.
dc.rightsrestrictedAccess
dc.subjectMultidimensional projection
dc.subjectQuality metrics
dc.titleProjection inspector: assessment and synthesis of multidimensional projections
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución