An Approach to Perform Local Analysis on Multidimensional Projection
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/SIBGRAPI.2017.53 http://hdl.handle.net/11449/179506 |
Resumo: | 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. |
id |
UNSP_e592f195cf7eab55538d1ced14403e44 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/179506 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
An Approach to Perform Local Analysis on Multidimensional ProjectionIn 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.Universidade Estadual Paulista UNESPUniversidade Estadual Paulista UNESPUniversidade Estadual Paulista (Unesp)Marcilio, Wilson Estecio [UNESP]Eler, Danilo Medeiros [UNESP]Garcia, Rogerio Eduardo [UNESP]2018-12-11T17:35:27Z2018-12-11T17:35:27Z2017-11-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject351-358http://dx.doi.org/10.1109/SIBGRAPI.2017.53Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, p. 351-358.http://hdl.handle.net/11449/17950610.1109/SIBGRAPI.2017.532-s2.0-85040583046Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017info:eu-repo/semantics/openAccess2024-06-19T14:32:27Zoai:repositorio.unesp.br:11449/179506Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:05:38.225212Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An Approach to Perform Local Analysis on Multidimensional Projection |
title |
An Approach to Perform Local Analysis on Multidimensional Projection |
spellingShingle |
An Approach to Perform Local Analysis on Multidimensional Projection Marcilio, Wilson Estecio [UNESP] |
title_short |
An Approach to Perform Local Analysis on Multidimensional Projection |
title_full |
An Approach to Perform Local Analysis on Multidimensional Projection |
title_fullStr |
An Approach to Perform Local Analysis on Multidimensional Projection |
title_full_unstemmed |
An Approach to Perform Local Analysis on Multidimensional Projection |
title_sort |
An Approach to Perform Local Analysis on Multidimensional Projection |
author |
Marcilio, Wilson Estecio [UNESP] |
author_facet |
Marcilio, Wilson Estecio [UNESP] Eler, Danilo Medeiros [UNESP] Garcia, Rogerio Eduardo [UNESP] |
author_role |
author |
author2 |
Eler, Danilo Medeiros [UNESP] Garcia, Rogerio Eduardo [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Marcilio, Wilson Estecio [UNESP] Eler, Danilo Medeiros [UNESP] Garcia, Rogerio Eduardo [UNESP] |
description |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-03 2018-12-11T17:35:27Z 2018-12-11T17:35:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/SIBGRAPI.2017.53 Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, p. 351-358. http://hdl.handle.net/11449/179506 10.1109/SIBGRAPI.2017.53 2-s2.0-85040583046 |
url |
http://dx.doi.org/10.1109/SIBGRAPI.2017.53 http://hdl.handle.net/11449/179506 |
identifier_str_mv |
Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, p. 351-358. 10.1109/SIBGRAPI.2017.53 2-s2.0-85040583046 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
351-358 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129391618686976 |