Making big data a little smaller

(Harvard John A. Paulson School of Engineering and Applied Sciences) Harvard computer scientist found that the Johnson-Lindenstrauss lemma, a 30-year-old therum, is the best approach to pre-process large data into a manageably low dimension for algorithmic processing.