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.