SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s12650-020-00685-4 http://hdl.handle.net/11449/197180 |
Resumo: | Sampling techniques are widely used in the effort to reduce complexity and improve interpretability of datasets. Given the enormous availability of data, these techniques try to select representative data points that inherently reflect the data structure. In this work, we propose a novel sampling technique that preserves the structures imposed by dimensionality reduction techniques when visualized as scatter plots. In the experiments, we demonstrate how our technique is able to reflect the class boundaries and layout structures, besides decreasing redundancy of the datasets visualized as scatter plots. We also provide an user experiment regarding the perception of sampling from scatter plot visualizations. Graphic abstract |
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oai:repositorio.unesp.br:11449/197180 |
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Repositório Institucional da UNESP |
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2946 |
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SADIRE: a context-preserving sampling technique for dimensionality reduction visualizationsVisualizationMultidimensional projectionScatter plotOverplottingSamplingContext-preservingSampling techniques are widely used in the effort to reduce complexity and improve interpretability of datasets. Given the enormous availability of data, these techniques try to select representative data points that inherently reflect the data structure. In this work, we propose a novel sampling technique that preserves the structures imposed by dimensionality reduction techniques when visualized as scatter plots. In the experiments, we demonstrate how our technique is able to reflect the class boundaries and layout structures, besides decreasing redundancy of the datasets visualized as scatter plots. We also provide an user experiment regarding the perception of sampling from scatter plot visualizations. Graphic abstractFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Presidente Prudente, SP, BrazilSao Paulo State Univ, Presidente Prudente, SP, BrazilFAPESP: 2018/25755-8FAPESP: 2018/17881-3SpringerUniversidade Estadual Paulista (Unesp)Marcilio-Jr, Wilson Estecio [UNESP]Eler, Danilo Medeiros [UNESP]2020-12-10T20:08:41Z2020-12-10T20:08:41Z2020-07-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15http://dx.doi.org/10.1007/s12650-020-00685-4Journal Of Visualization. Dordrecht: Springer, 15 p., 2020.1343-8875http://hdl.handle.net/11449/19718010.1007/s12650-020-00685-4WOS:000558927300002Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Visualizationinfo:eu-repo/semantics/openAccess2024-06-18T18:17:51Zoai:repositorio.unesp.br:11449/197180Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T18:17:51Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
title |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
spellingShingle |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations Marcilio-Jr, Wilson Estecio [UNESP] Visualization Multidimensional projection Scatter plot Overplotting Sampling Context-preserving |
title_short |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
title_full |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
title_fullStr |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
title_full_unstemmed |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
title_sort |
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations |
author |
Marcilio-Jr, Wilson Estecio [UNESP] |
author_facet |
Marcilio-Jr, Wilson Estecio [UNESP] Eler, Danilo Medeiros [UNESP] |
author_role |
author |
author2 |
Eler, Danilo Medeiros [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Marcilio-Jr, Wilson Estecio [UNESP] Eler, Danilo Medeiros [UNESP] |
dc.subject.por.fl_str_mv |
Visualization Multidimensional projection Scatter plot Overplotting Sampling Context-preserving |
topic |
Visualization Multidimensional projection Scatter plot Overplotting Sampling Context-preserving |
description |
Sampling techniques are widely used in the effort to reduce complexity and improve interpretability of datasets. Given the enormous availability of data, these techniques try to select representative data points that inherently reflect the data structure. In this work, we propose a novel sampling technique that preserves the structures imposed by dimensionality reduction techniques when visualized as scatter plots. In the experiments, we demonstrate how our technique is able to reflect the class boundaries and layout structures, besides decreasing redundancy of the datasets visualized as scatter plots. We also provide an user experiment regarding the perception of sampling from scatter plot visualizations. Graphic abstract |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T20:08:41Z 2020-12-10T20:08:41Z 2020-07-30 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s12650-020-00685-4 Journal Of Visualization. Dordrecht: Springer, 15 p., 2020. 1343-8875 http://hdl.handle.net/11449/197180 10.1007/s12650-020-00685-4 WOS:000558927300002 |
url |
http://dx.doi.org/10.1007/s12650-020-00685-4 http://hdl.handle.net/11449/197180 |
identifier_str_mv |
Journal Of Visualization. Dordrecht: Springer, 15 p., 2020. 1343-8875 10.1007/s12650-020-00685-4 WOS:000558927300002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Visualization |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
15 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1803045221420761088 |