Generate data drawn form a mixture of Gaussians. Adapted from code by [Nikos Vlassis, 2000]. For definitions see [Dasgupta, 1999]. INPUTS n - size of training set m - size of test set k - number of components d - dimension c - separation degree e - maximum eccentricity f - [optional] fraction of points that are noise (uniformly distributed) OUTPUTS X - training set (n x d) IDX - cluster membership [see kmeans2.m] T - test set (m x d) IDT - cluster membership [see kmeans2.m] DATESTAMP 29-Sep-2005 2:00pm See also VISUALIZE_DATA, DEMOCLUSTER, DEMOCLASSIFY