Icon and geometric data visualization with a self-organizing map grid

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorNational Institute for Space Research-
Autor(es): dc.contributorUniversidade Federal de São Paulo (UNIFESP)-
Autor(es): dc.creatorMorais, Alessandra Marli M.-
Autor(es): dc.creatorQuiles, Marcos Gonçalves-
Autor(es): dc.creatorSantos, Rafael D. C.-
Data de aceite: dc.date.accessioned2022-08-04T22:04:09Z-
Data de disponibilização: dc.date.available2022-08-04T22:04:09Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2014-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-319-09153-2_42-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220199-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220199-
Descrição: dc.descriptionData Visualization is an important tool for tasks related to Knowledge Discovery in Databases (KDD). Often the data to be visualized is complex, have multiple dimensions or features and consists of many individual data points, making visualization with traditional icon- and pixel-based and geometric techniques difficult. In this paper we propose a combination of icon-based and geometric-based visualization techniques backed up by a Self-Organizing Map, which allows dimensionality reduction and topology preservation. The technique is applied to some datasets of simple and intermediate complexity, and the results shows that it is possible to reduce clutter and facilitate identification of associations, clusters and outliers. © 2014 Springer International Publishing.-
Descrição: dc.descriptionNational Institute for Space Research, Av dos Astronautas. 1758, CEP 12227-010, São José dos Campos-
Descrição: dc.descriptionUNIFESP São José Dos Campos, Rua Talim, 330, CEP 12231-280, São José dos Campos-
Formato: dc.format562-575-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectKohonen Self-organizing Maps-
Palavras-chave: dc.subjectVisualization-
Título: dc.titleIcon and geometric data visualization with a self-organizing map grid-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.