# Clustering of High-Dimensional Data

**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

Professor

Mathematics