Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyPaulovichOlivMing:2007:FlToPr
TitleThe Projection Explorer: A Flexible Tool for Projection-based Multidimensional Visualization
FormatPrinted, On-line.
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size369 KiB
Context area
Author1 Paulovich, Fernando V.
2 Oliveira, Maria Cristina F.
3 Minghim, Rosane
Affiliation1 Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo
2 Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo
3 Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-15 13:26:36 :: -> administrator ::
2007-08-02 21:17:20 :: administrator -> ::
2008-07-17 14:09:42 :: -> administrator ::
2009-08-13 20:38:20 :: administrator -> banon ::
2010-08-28 20:02:26 :: banon -> administrator ::
2020-02-19 03:06:18 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsMultidimensional Projection, Information Visualization, Multidimensional Visualization Tool, Document Collections Visual Representation.
AbstractMultidimensional projections map data points, defined in a high-dimensional data space, into a 1D, 2D or 3D representation space. Such a mapping may be typically achieved with dimensional reduction, clustering, or force directed point placement. Projections can be displayed and navigated by data analysts by means of visual representations, which may vary from points on a plane to graphs, surfaces or volumes. Typically, projections strive to preserve distance relationships amongst data points, as defined in the original space. Information loss is inevitable and the projection approach defines the extent to which the distance preserving goal is attained. We introduce PEx - the Projection Explorer - a visualization tool for mapping and exploration of high-dimensional data via projections. A set of examples - on both structured (table) and unstructured (text) data - illustrate how projection based visualizations, coupled with appropriate exploration tools, offer a flexible set-up for multidimensional data exploration. The projections in PEx handle relatively large data sets at a computational cost adequate to user interaction.
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Target FilePaulovichOliveiraMinghim-ProjectionExplorer.pdf
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