This toolbox implements Bayesian Clustering based on Bayesian Gaussian Mixture models. The algorithm (spm_mix) will cluster multidimensional data and report on the optimal number of clusters. The toolbox also contains code for a Robust General Linear Model (spm_rglm), where the error processes comprise a two-component univariate mixture model. There is no user interface but there are many demo files.
 
U. Noppeney, W. D. Penny, C. J. Price, G. Flandin, and K. J. Friston. Identification of degenerate neuronal systems based on intersubject variability. Neuroimage, 30:885-890, 2006.
W. Penny, J. Kilner and F. Blankenburg. Robust Bayesian General Linear Models. Neuroimage, 36(3):661-671, 2007.
 
These descriptions of the new features are taken from the SPM8 Release Notes
 
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