Model-based clustering of longitudinal data
نویسندگان
چکیده
منابع مشابه
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hierarchical models leading to a mixture of hierarchical models. We study both frequentist and Bayesian estimation procedures. From a classical viewpoint, we discuss maximum likelihood estimation of this family of models t...
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Model - based clustering of functional data ∗
Model-based clustering for functional data is considered. An alternative to model-based clustering using the functional principal components is proposed by approximating the density of functional random variables. The EM algorithm is used for parameter estimation and the maximum a posteriori rule provides the clusters. Simulation study and real data application illustrate the interest of the pr...
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ژورنال
عنوان ژورنال: Canadian Journal of Statistics
سال: 2010
ISSN: 0319-5724,1708-945X
DOI: 10.1002/cjs.10047