Employing overlapping removal and representatives identification techniques in visualizations based on multidimensional projection

• Grant number: 16/11707-6
• Support Opportunities: Scholarships in Brazil - Master
• Start date: September 01, 2016
• End date: November 01, 2018
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Danilo Medeiros Eler
• Grantee: Wilson Estécio Marcílio Júnior
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
• Associated scholarship(s): 17/17450-0 - Hierarchical exploration on visual representations generated by multidimentional projections, BE.EP.MS

Abstract

Multidimensional projection techniques have been widely employed in exploration of datasets, showing the similarity of instances. Usually, graphical representations resulting from a multidimensional projection technique have overlapping of graphical markers, impairing the user exploration. Currently, the literature presents different techniques capable to remove the markers overlapping. However, the display space required to generate the graphical representation without the overlapping increases as the dataset size increases. To minimize this limitation, techniques for representative identification can be used to reduce the display space required. Therefore, this project aims to propose a multilevel exploration approach based on representative selection techniques. Moreover, it is also a goal of this project to identify the best techniques for removing markers overlapping and identification of representative, which will be used in the multilevel approach. These techniques will be assessed by objective measurements and evaluation with users.

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

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)

MARCILIO JUNIOR, WILSON ESTECIO; ELER, DANILO MEDEIROS; GARCIA, ROGERIO EDUARDO; IEEE. An approach to perform local analysis on multidimensional projection. 2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2017-01-01. (16/11707-6, 15/18238-9)

DE PAULA RODRIGUES, GUSTAVO ELOI; MARCILIO JUNIOR, WILSON ESTECIO; ELER, DANILO MEDEIROS; IEEE. Data Classification: Dimensionality Reduction Using Combined and Non-Combined Multidimensional Projection Techniques. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2018-01-01. (13/03452-0, 16/11707-6)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MARCÍLIO JÚNIOR, Wilson Estécio. An exploration approach in visualizations generated to represent multidimensional projections. 2018. Master's Dissertation - Universidade Estadual Paulista (Unesp). Instituto de Biociências Letras e Ciências Exatas. São José do Rio Preto São José do Rio Preto.