Hierarchical exploration on visual representations generated by multidimentional projections

• Grant number: 17/17450-0
• Support Opportunities: Scholarships abroad - Research Internship - Master's degree
• Start date: March 01, 2018
• End date: April 30, 2018
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Danilo Medeiros Eler
• Grantee: Wilson Estécio Marcílio Júnior
• Supervisor: Fernando Vieira Paulovich
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
• Institution abroad: Dalhousie University, Canada
• Associated to the scholarship: 16/11707-6 - Employing overlapping removal and representatives identification techniques in visualizations based on multidimensional projection, BP.MS

Abstract

Due to the growth and complexity of data, the analysis process become even hard. Visualization has an important role in this scenario, in which visual metaphors are employed to aid in the knowledge discovering. For multidimensional data, one of the most used techniques are the multidimensional projections, that map data from high dimension to data in low dimension aiming at preserving similarity and neighborhood relations present in the multidimensional space. Due to the dimensionality reduction, overlaps among the graphical representations arise and the exploration process is impaired. Although the literature presents many overlap removal techniques, the space required to generate layouts without overlap is proportional to the size of the dataset. In order to minimize such limitation, this project aims at elaborating a new technique for multilevel exploration on visual representations generated by multidimensional projection techniques.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MARCILIO-JR, WILSON E.; ELER, DANILO M.; PAULOVICH, V, FERNANDO; RODRIGUES-JR, JOSE F.; ARTERO, ALMIR O.. ExplorerTree: A Focus+Context Exploration Approach for 2D Embeddings. BIG DATA RESEARCH, v. 25, JUL 15 2021. (16/11707-6, 17/17450-0, 18/17881-3, 18/25755-8)