A Hybrid Visualization Approach to Perform Analysis of Feature Spaces

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorJúnior, Wilson Estécio Marcílio [UNESP]-
Autor(es): dc.creatorEler, Danilo Medeiros [UNESP]-
Autor(es): dc.creatorGarcia, Rogério Eduardo [UNESP]-
Autor(es): dc.creatorCorreia, Ronaldo Celso Messias [UNESP]-
Autor(es): dc.creatorSilva, Lenon Fachiano [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:34:37Z-
Data de disponibilização: dc.date.available2022-02-22T00:34:37Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-43020-7_32-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201829-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201829-
Descrição: dc.descriptionIn this paper, we propose a hybrid visualization by combining a projection based approach with star plot visualization to inspect feature spaces. While the projection based visualization is used to depict the instances similarities from high-dimensional spaces onto a bi-dimensional space, the star plot visual metaphor enables inspection of features (attributes) relationship. By inspecting feature spaces, analysts can assess their quality and analyze which features contribute for the formation of clusters. To validate our proposal, we demonstrate how to improve feature spaces to generate more cohesive clusters, as well as how to analyze deep learning features of distinct Convolutional Neural Network (CNN) architectures.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science São Paulo State University (UNESP)-
Descrição: dc.descriptionFAPESP: 2018/17881-3-
Descrição: dc.descriptionFAPESP: 2018/25755-8-
Formato: dc.format241-247-
Idioma: dc.languageen-
Relação: dc.relationAdvances in Intelligent Systems and Computing-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectExplainability-
Palavras-chave: dc.subjectExplainable artificial intelligence-
Palavras-chave: dc.subjectFeature space-
Palavras-chave: dc.subjectInterpretability-
Palavras-chave: dc.subjectVisual analytics-
Título: dc.titleA Hybrid Visualization Approach to Perform Analysis of Feature Spaces-
Aparece nas coleções:Repositório Institucional - Unesp

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