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Study and development of validation methods for density- and graph-based clustering techniques

Grant number: 10/20032-6
Support type:Scholarships abroad - Research
Effective date (Start): August 01, 2011
Effective date (End): July 31, 2012
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Ricardo José Gabrielli Barreto Campello
Grantee:Ricardo José Gabrielli Barreto Campello
Host: Joerg Sander
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Local de pesquisa : University of Alberta, Canada  


This document describes a research proposal for a 1 year sabbatical period under the supervision of Prof. Joerg Sander from the Databases (DB) Group of the Department of Computing Science of the University of Alberta (U of A), in Edmonton, Canada. The preliminary conception of this proposal was envisaged during a 1 week visit of Ricardo J. G. B. Campello (candidate) to the DB group of the U of A in June, 2010. During that visit, the candidate gave a seminar entitled "Relative Validity Criteria for Clustering Validation" and had technical discussions with students and professors from the group. Prof. Sander and the candidate found a number of research interests in common, particularly in what concerns the (rather unexplored) field of validation of complex clustering structures, such as those resulting from density- and graph-based data clustering algorithms. This is precisely the subject of the present research proposal. (AU)

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)
JASKOWIAK, PABLO A.; MOULAVI, DAVOUD; FURTADO, ANTONIO C. S.; CAMPELLO, RICARDO J. G. B.; ZIMEK, ARTHUR; SANDER, JOERG. On strategies for building effective ensembles of relative clustering validity criteria. KNOWLEDGE AND INFORMATION SYSTEMS, v. 47, n. 2, p. 329-354, MAY 2016. Web of Science Citations: 8.
CAMPELLO, RICARDO J. G. B.; MOULAVI, DAVOUD; ZIMEK, ARTHUR; SANDER, JOERG. Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v. 10, n. 1 JUL 2015. Web of Science Citations: 70.

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