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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/De5Q4
Repositorysid.inpe.br/banon/2004/08.21.12.06
Last Update2004:08.21.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/08.21.12.06.37
Metadata Last Update2022:06.14.00.12.49 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352979
Citation KeyArteroOliv:2004:EfExVi
TitleViz3D: Effective exploratory visualization of large multidimensional data sets.
FormatOn-line
Year2004
Access Date2024, Apr. 28
Number of Files1
Size353 KiB
2. Context
Author1 Artero, Almir Olivette
2 Oliveira, Maria Cristina Ferreira
Affiliation1 Instituto de Ciências Matemáticas e Computação
2 Universidade de São Paulo
3 Caixa Postal 668, 13.560-970, São Carlos SP, Brasil
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Address{almir,cristina}@icmc.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:58 :: almir -> banon ::
2008-08-26 15:15:44 :: banon -> administrator ::
2009-08-13 20:37:38 :: administrator -> banon ::
2010-08-28 20:01:15 :: banon -> administrator ::
2022-06-14 00:12:49 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsinformation visualization
visual data mining
clustering
AbstractWe propose a multidimensional visualization technique, named Viz3D, that creates a 3D representation of n-dimensional data that may be interactively manipulated by users to handle visual cluttering and object occlusion. The projection performed in Viz3D is comparable in quality with the 3D projections obtained with well-known dimensionality reduction techniques, at a lower complexity cost. While a 3D projection conveys more information, giving the user more control of the visual representation and an additional dimension, as compared to 2D, visual cluttering and object occlusion are still a problem in handling large multidimensional data sets. To produce more effective visualizations, two strategies are introduced. Dimensionality is handled with a similarity clustering of attributes prior to projection. Data set size is handled with a new strategy of visualizing data densities, rather than individual data records. Both the direct and density Viz3D visualizations provide the basis for a user driven visual clustering approach applicable to high dimensional data sets that is very simple, intuitive and effective.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Viz3D: Effective exploratory...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Viz3D: Effective exploratory...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/De5Q4
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/De5Q4
Languageen
Target File4418_Artero_Oliveira.pdf
User Groupalmir
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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