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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFQ982
Repositorysid.inpe.br/sibgrapi/2017/08.21.15.36
Last Update2017:08.21.15.36.36 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.21.15.36.36
Metadata Last Update2022:06.14.00.08.53 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.53
Citation KeyMarcílioJrElerGarc:2017:ApPeLo
TitleAn approach to perform local analysis on multidimensional projection
FormatOn-line
Year2017
Access Date2024, Oct. 15
Number of Files1
Size958 KiB
2. Context
Author1 Marcílio Jr, Wilson Estécio
2 Eler, Danilo Medeiros
3 Garcia, Rogério Eduardo
Affiliation1 Universidade Estadual Paulista - UNESP
2 Universidade Estadual Paulista - UNESP
3 Universidade Estadual Paulista - UNESP
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addresswilson_jr@outlook.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-21 15:36:36 :: wilson_jr@outlook.com -> administrator ::
2022-06-14 00:08:53 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsvisualization
multidimensional projection
analysis
AbstractIn the context of Visualization, Multidimensional Projection techniques are employed to show similarity relations among instances of a multidimensional dataset. Distinct projection techniques use different approaches to perform the dimensionality reduction and, consequently, different metrics are employed to assess projection quality according to similarity and structures preservation. Usually, quality measures are computed from the whole projection, what can impair a specific evaluation. This work presents a novel approach to perform evaluation on multidimensional projections, in which clusters of instances are selectively evaluated and compared to the whole projection. The proposed approach has shown to be effective on evaluating projections and it offers a way to apply techniques to enhance poor projected areas.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > An approach to...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An approach to...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFQ982
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFQ982
Languageen
Target FilePID4959879.pdf
User Groupwilson_jr@outlook.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 44
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark 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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