CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Campus de Sorocaba. Centro de Ciências em Gestão e Tecnologia (CCGT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Bacharelado Em Ciências da Computação from Universidade de São Paulo (1998), master's at Computer Science from Universidade de São Paulo (2001) and doctorate at Computer Science from Universidade de São Paulo (2006). Has experience in Computer Science, acting on the following subjects: fusão de sensores, combinação de estimadores, clustering, machine learning and multi-objective clustering. (Source: Lattes Curriculum)
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Cluster analysis is commonly used in several areas. However, even the most recent approaches present dificulties that limit its use by experts of different areas. This research project is related to the development of a new approach to cluster analysis aiming at the obtaining of a greater variety of potentially useful clusters than that obtained by the traditional approaches or the more r…
The traditional clustering techniques presents several restrictions and difficulties. Most of them are overcome by approaches such as clustering ensembles, multi-objective clustering (MOCK) and multi-objective ensemble (MOCLE). However, one dificultie still remains for the data having clusters with different shapes in different regions of the feature space. In this project, it will be pro…
Cluster analysis has been largely employed for knowledge extraction in several fields. Interpretation of clustering results are not straightforward for a domain expert and visual aids are extremely useful in these cases. Techniques for visualization and full exploration of advanced clustering techniques results are still needed. Partitions' Visualizer (PVis) is a visualization tool that p…
| 4 / 3 | Completed research grants |
| 5 / 1 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 10 / 5 | All research grants and scholarships |
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