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Título: Exploring the number of groups in robust model-based clustering
Autor: García Escudero, Luis Angel
Gordaliza Ramos, Alfonso
Matrán Bea, Carlos
Mayo Iscar, Agustín
Editor: Universidad de Valladolid
Año del Documento: 2011
Descripción: Producción Científica
Documento Fuente: García-Escudero, L.A.; Gordaliza, A.; Matrán, C. y Mayo-Iscar, A. (2011) "Exploring the number of groups in robust model-based clustering". Statistics and Computing Vol. 21, Pag. 585-599
Resumen: Two key questions in Clustering problems are how to determine the number of groups properly and measure the strength of group-assignments. These questions are specially involved when the presence of certain fraction of outlying data is also expected. Any answer to these two key questions should depend on the assumed probabilistic- model, the allowed group scatters and what we understand by noise. With this in mind, some exploratory \trimming-based" tools are presented in this work together with their justi cations. The monitoring of optimal values reached when solving a robust clustering criteria and the use of some "discriminant" factors are the basis for these exploratory tools.
Materias (normalizadas): Estadística
Departamento: Estadística e IO
Idioma: spa
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP24 - Otros Documentos (Informes, Memorias, Documentos de Trabajo, etc)

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