Project level: PhD, Masters, Honours

This project is concerned with the clustering of high-dimensional data where the number of variables is much larger than the number of experimental units.  Consideration is to be given to the suitability and  effectiveness of the use of  factor models to enable normal mixture models to be applied in such cases.

Project members

Professor Geoffrey McLachlan