Exploring the number of groups in robust model-based clustering

Authors:
L. A. García-Escudero;A. Gordaliza;C. Matrán;A. Mayo-Iscar
Affiliations:
Departamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Valladolid, Valladolid, Spain 47002;Departamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Valladolid, Valladolid, Spain 47002;Departamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Valladolid, Valladolid, Spain 47002;Departamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Valladolid, Valladolid, Spain 47002
Venue:
Statistics and Computing
Year:
2011

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Abstract

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 justifications. 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.