Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): How to Assign Scans to Categories without Using Spatial Normalization

Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): How to Assign Scans to Categories without Using Spatial Normalization

We present a new discriminant analysis (DA) method called Multiple Subject Barycentric Discriminant Analysis (MUSUBADA) suited for analyzing fMRI data because it handles datasets with multiple participants that each provides different number of variables (i.e., voxels) that are themselves grouped in...

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Bibliographic Details
Main Authors: Hervé Abdi, Lynne J. Williams, Andrew C. Connolly, M. Ida Gobbini, Joseph P. Dunlop, James V. Haxby
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2012/634165

Internet

http://dx.doi.org/10.1155/2012/634165

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