Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PFQ982 |
Repository | sid.inpe.br/sibgrapi/2017/08.21.15.36 |
Last Update | 2017:08.21.15.36.36 administrator |
Metadata | sid.inpe.br/sibgrapi/2017/08.21.15.36.36 |
Metadata Last Update | 2020:02.19.02.01.29 administrator |
Citation Key | MarcílioJrElerGarc:2017:ApPeLo |
Title | An approach to perform local analysis on multidimensional projection  |
Format | On-line |
Year | 2017 |
Access Date | 2021, Jan. 26 |
Number of Files | 1 |
Size | 958 KiB |
Context area | |
Author | 1 Marcílio Jr, Wilson Estécio 2 Eler, Danilo Medeiros 3 Garcia, Rogério Eduardo |
Affiliation | 1 Universidade Estadual Paulista - UNESP 2 Universidade Estadual Paulista - UNESP 3 Universidade Estadual Paulista - UNESP |
Editor | Torchelsen, 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 Address | wilson_jr@outlook.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Date | Oct. 17-20, 2017 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2017-08-21 15:36:36 :: wilson_jr@outlook.com -> administrator :: 2020-02-19 02:01:29 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | visualization, multidimensional projection, analysis. |
Abstract | In 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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PFQ982 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PFQ982 |
Language | en |
Target File | PID4959879.pdf |
User Group | wilson_jr@outlook.com |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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