Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models.

Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models.

We propose a hierarchical infinite mixture model approach to address two issues in connectivity-based parcellations: (i) choosing the number of clusters, and (ii) combining data from different subjects. In a Bayesian setting, we model voxel-wise anatomical connectivity profiles as an infinite mixtur...

書誌詳細
主要な著者:	Jbabdi, S, Woolrich, M, Behrens, T
フォーマット:	Journal article
言語:	English
出版事項:	2009

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