Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models

Authors:
P. D. McNicholas;T. B. Murphy;A. F. McDaid;D. Frost
Affiliations:
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada, N1G 2W1;School of Mathematical Sciences, University College Dublin, Ireland;School of Mathematics, Trinity College Dublin, Ireland;Trinity Centre for High Performance Computing, Trinity College Dublin, Ireland
Venue:
Computational Statistics & Data Analysis
Year:
2010

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Abstract

Hidden semi-Markov models are a generalization of the well-known hidden Markov model. They allow for a greater flexibility of sojourn time distributions, which implicitly follow a geometric distribution in the case of a hidden Markov chain. The aim of ...