Evolutionary fuzzy clustering of relational data

Horta, Danilo, de Andrade, Ivan C., and Campello, Ricardo J.G.B (2011) Evolutionary fuzzy clustering of relational data. Theoretical Computer Science, 412 (42). pp. 5854-5870.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1016/j.tcs.2011.05....


This paper is concerned with the computational efficiency of fuzzy clustering algorithms when the data set to be clustered is described by a proximity matrix only (relational data) and the number of clusters must be automatically estimated from such data. A fuzzy variant of an evolutionary algorithm for relational clustering is derived and compared against two systematic (pseudo-exhaustive) approaches that can also be used to automatically estimate the number of fuzzy clusters in relational data. An extensive collection of experiments involving 18 artificial and two real data sets is reported and analyzed.

Item ID: 46776
Item Type: Article (Research - C1)
ISSN: 0304-3975
Keywords: natural computing; fuzzy computing; evolutionary algorithms; fuzzy clustering; relational data
Funders: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), São Paulo Research Foundation (FAPESP)
Date Deposited: 10 Mar 2017 00:01
FoR Codes: 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page