Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10908/553
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.creator.Autor | Fraiman, Ricardo | |
dc.creator.Autor | Justel, Ana | |
dc.creator.Autor | Svarc, Marcela | |
dc.date.accessioned | 2011-09-19T13:48:44Z | |
dc.date.available | 2011-09-19T13:48:44Z | |
dc.date.issued | 2008-06 | |
dc.identifier.uri | http://hdl.handle.net/10908/553 | |
dc.description | Fil: Fraiman, Ricardo. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina. | |
dc.description | Fil: Justel, Ana. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina. | |
dc.description | Fil: Svarc, Marcela. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina. | |
dc.description.abstract | We introduce a new procedure for pattern recognition, based on the concepts of random projections and nearest neighbors. It can be thought as an improvement of the classical nearest neighbors classification rules. Besides the concept of neighbors we introduce the notion of district, a larger set which will be projected. Then we apply one dimensional k-NN methods to the projected data on randomly selected directions. In this way we are able to provide a method with some robustness properties and more accurate to handle high dimensional data. The procedure is also universally consistent. We challenge the method with the Isolet data where we obtain a very high classification score. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.publisher | Universidad de San Andrés. Departamento de Matemáticas y Ciencias | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Multivariate analysis | |
dc.subject | Robust statistics | |
dc.subject | Pattern perception | |
dc.title | Pattern recognition via projection – based k – NN rules | |
dc.type | Documento de Trabajo | |
dc.type | info:eu-repo/semantics/workingPaper | |
dc.type | info:ar-repo/semantics/documento de trabajo | |
dc.type | info:eu-repo/semantics/draft | |
Aparece en las colecciones: | Documentos de Trabajo del Departamento de Matemática y Ciencias |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
[P][W] doc53.pdf | 886.01 kB | Adobe PDF | Visualizar/Abrir |
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.