A class-based evaluation approach to assess multidimensional projections

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorInstitute for Big Data Analytics-
Autor(es): dc.creatorTeixeira, Jaqueline [UNESP]-
Autor(es): dc.creatorMarcilio, Wilson E. [UNESP]-
Autor(es): dc.creatorEler, Danilo M. [UNESP]-
Autor(es): dc.creatorArtero, Almir [UNESP]-
Autor(es): dc.creatorBrandoli, Bruno-
Data de aceite: dc.date.accessioned2022-02-22T00:46:07Z-
Data de disponibilização: dc.date.available2022-02-22T00:46:07Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/IV51561.2020.00037-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206083-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206083-
Descrição: dc.descriptionMultidimensional projection techniques have been widely used to visually explore datasets due to their ability to generate representations that preserve similarity relations of data points into lower dimensional spaces. To evaluate if the embedded space reflects high-dimensional structures, measures are usually employed to return a quality score of the whole projection. In contrast to this idea, we evaluate the embedded layouts by assessing each class of the datasets at a time by using well-known quality measures. In addition, we propose assessing multidimensional projection techniques using ROC curves. Experimental results on two datasets show that our approach can be useful to discover how classes interact each other by using different visualization techniques and how close-related they are without thoroughly exploring the layouts. ROC curves proved to be a good measure for analyzing projection techniques and can give highly valuable feedback to users when exploring multidimensional data.-
Descrição: dc.descriptionSão Paulo State University (UNESP) Department of Mathematics and Computer Science-
Descrição: dc.descriptionDalhousie University Institute for Big Data Analytics-
Descrição: dc.descriptionSão Paulo State University (UNESP) Department of Mathematics and Computer Science-
Formato: dc.format174-181-
Idioma: dc.languageen-
Relação: dc.relationProceedings of the International Conference on Information Visualisation-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectEvaluation-
Palavras-chave: dc.subjectMultidimensional projections-
Palavras-chave: dc.subjectVisualization-
Título: dc.titleA class-based evaluation approach to assess multidimensional projections-
Aparece nas coleções:Repositório Institucional - Unesp

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