2026-04-27T13:46:47Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/59672021-06-23T10:11:05Zcom_10324_1151com_10324_931com_10324_894col_10324_1936

García Escudero, Luis Ángel Gordaliza Ramos, Alfonso Matrán Bea, Carlos Mayo Iscar, Agustín Universidad de Valladolid 2014-09-15T20:13:05Z 2014-09-15T20:13:05Z 2011 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 http://uvadoc.uva.es/handle/10324/5967 Producción Científica 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. Estadística e IO application/pdf spa info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Attribution 4.0 International Estadística Exploring the number of groups in robust model-based clustering info:eu-repo/semantics/preprint