SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations

Autor(es)

Marcilio-Jr, Wilson Estecio ; Eler, Danilo Medeiros ^[1]

Afiliação do(s) autor(es)

^[1] Marcilio-Jr, Jr., Wilson Estecio, Sao Paulo State Univ, Presidente Prudente, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF VISUALIZATION; v. 23, n. 6, p. 999-1013, DEC 2020.
• Citações Web of Science: 1

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 (AU)

• Processo FAPESP: 18/25755-8 - Representação visual multinível para auxiliar a exploração de conjuntos de dados
• Beneficiário: Wilson Estécio Marcílio Júnior
• Modalidade de apoio: Bolsas no Brasil - Programa Capacitação - Treinamento Técnico
• Processo FAPESP: 18/17881-3 - Representação visual multinível para auxiliar a exploração de conjuntos de dados
• Beneficiário: Danilo Medeiros Eler
• Modalidade de apoio: Auxílio à Pesquisa - Regular