Exploring the number of groups in robust model-based clustering
Año del Documento
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
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
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