| Full text | |
| Author(s): |
Marcilio-Jr, Wilson Estecio
;
Eler, Danilo Medeiros
[1]
Total Authors: 2
|
| Affiliation: | [1] Marcilio-Jr, Jr., Wilson Estecio, Sao Paulo State Univ, Presidente Prudente, SP - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | JOURNAL OF VISUALIZATION; v. 23, n. 6, p. 999-1013, DEC 2020. |
| Web of Science Citations: | 1 |
| Abstract | |
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) | |
| FAPESP's process: | 18/25755-8 - Multilevel visual representation to assist the exploration of data sets |
| Grantee: | Wilson Estécio Marcílio Júnior |
| Support Opportunities: | Scholarships in Brazil - Technical Training Program - Technical Training |
| FAPESP's process: | 18/17881-3 - Multilevel visual representation to assist the exploration of data sets |
| Grantee: | Danilo Medeiros Eler |
| Support Opportunities: | Regular Research Grants |