Year: 2013
Type: preprint
Abstract: Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.
Source: arXiv (Cornell University)
Author: Dasgupta, Sanjoy
Institution: AT&T (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1531259569