I have a huge set of N-dimensional points (tens of millions; N is close to 100). I need to map these points to a single dimension while preserving spatial locality. I want to use Hilbert space-fil...

In NLP, it's always the case that the dimension of the features are very huge. For example, for one project at hand, the dimension of features is almost 20 thousands (p = 20,000), and each feature ...