1. A method of processing data for use in Singular Value Decomposition (SVD), the method comprising: providing multiple entries that are associated with points in a space, the multiple entries being arrangable into a first m×n matrix; modifying values of at least some of the entries; and defining a second m×n matrix comprising the modified entries, the second m×n matrix being configured to be processed in accordance with Singular Value Decomposition techniques.