Projection pursuit is a procedure for attaning a low-dimensional (usually two-dimensional) representation of the multivariate data, which will be particularly useful in revealing the interesting structure such as presence of distinct groups of the observations. A low-dimensional representation is found by optimizing some pre-defined numerical criterion designed to provide with 'interesting' patterns.