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Model‐based clustering of meta‐analytic functional imaging data

We present a method for the analysis of meta‐analytic functional imaging data. It is based on Activation Likelihood Estimation (ALE) and subsequent model‐based clustering using Gaussian mixture models, expectation‐maximization (EM) for model fitting, and the Bayesian Information Criterion (BIC) for...

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Detalhes bibliográficos
Main Authors: Neumann, Jane, von Cramon, D. Yves, Lohmann, Gabriele
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley Subscription Services, Inc., A Wiley Company 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2885605/
https://ncbi.nlm.nih.gov/pubmed/17390315
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20380
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