Pattern recognition algorithms
Resumo
This work aims at developing algorithms for pattern recognition, mainly on clustering techniques. Initially, the basic concepts of pattern recognition are presented. Then, a systemic vision of the problem is developed, with the discussion of the approaches for the project of pattern recognition. Finally, the following algorithms for cluster-seeking are implemented: “Maximim Similarity”, “Maximin-Distance”, “K-Means” and “ISODATA”. An user-friendly interface helps to present the programs, written in C++ and in Matlab.Downloads
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Publicado
2008-10-11
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do Prado, P. P. L., & de Castro, A. A. M. (2008). Pattern recognition algorithms. Revista Ciências Exatas, 5(1). Recuperado de https://periodicos.unitau.br/exatas/article/view/319
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