Improving the k-NN method: rough set in edit training set

Rough Set Theory (RST) is a technique for data analysis. In this study, we use RST to improve the performance of k-NN method. The RST is used to edit and reduce the training set. We propose two methods to edit training sets, which are based on the lower and upper approximations. Experimental result...

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Detalles Bibliográficos
Autores principales: Caballero, Yailé, Bello, Rafael, Álvarez, Delia, García, María M., Pizano, Yaimara
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
data analysis
training sets
Rough Set Theory (RST)
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24150
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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