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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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Main Authors: | , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Wiley Subscription Services, Inc., A Wiley Company
2007
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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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