- Research Grants
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)
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...
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...
(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)
(References retrieved automatically from State of São Paulo Research Institutions)
FACELI, Katti. Um framework para análise de agrupamento baseado na combinação multi-objetivo de algoritmos de agrupamento. 2006. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.
FACELI, Katti. Combinação de métodos de inteligência artificial para fusão de sensores. 2001. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.