Synthetic gaussian datasets

<p>A collection of 16 structurally diverse synthetic datasets that consist of randomly generated gaussian distributions varying in number of objects (5000 or 10000), number of features (20,40,50,60), number of clusters (3,8,15,20), cluster sizes, cluster standard deviations, cluster overlap, and feature anisotropy. Can be used to test clustering methods.</p>