... This paper will describe very recent algorithms based on computational geometry which have dramatically reduced the computational complexity of 1) kernel density estimation (which also extends to nonparametric regression, classification, and clustering), and 2) the -point correlation function for arbitrary . ... Problems such as computing kernel density estimates and -point correlation functions correspond to summations over pairs, triples, or in general -tuples of points. ...