Interactive Visualization and Feature Transformation for Multidimensional Data Projection

dc.contributor.authorPérez, D.en_US
dc.contributor.authorZhang, L.en_US
dc.contributor.authorSchaefer, M.en_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.authorKeim, D.en_US
dc.contributor.authorDíaz, I.en_US
dc.contributor.editorM. Aupetit and L. van der Maatenen_US
dc.date.accessioned2014-02-01T15:50:31Z
dc.date.available2014-02-01T15:50:31Z
dc.date.issued2013en_US
dc.description.abstractProjecting multidimensional data to a lower-dimensional visual display as a scatter-plot-like visualization is a common approach for analyzing multidimensional data. Many dimension reduction techniques exist for performing such a task, but the quality of projections varies in terms of both preserving the original data structure and avoiding cluttered visual displays. In this paper, we propose an interactive feature transformation approach that allows the analyst to monitor and improve the projection quality by transforming feature space and assessing/ comparing the quality of different projection results. The method integrates feature selection and transformation as well as a variety of projection quality measures to help analyst generate uncluttered projections that preserve the structural properties of the data. These projections enhance the visual analysis process and provide a better understanding of data.en_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics using Multidimensional Projectionsen_US
dc.identifier.isbn978-3-905674-53-8en_US
dc.identifier.urihttps://doi.org/10.2312/PE.VAMP.VAMP2013.021-025en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.5.2 [Pattern Recognition]en_US
dc.subjectDesign Methodologyen_US
dc.subjectFeature evaluation and selectionen_US
dc.subjectPattern analysisen_US
dc.titleInteractive Visualization and Feature Transformation for Multidimensional Data Projectionen_US
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