JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2007 Program page

Activity Number: 161
Type: Roundtables
Date/Time: Monday, July 30, 2007 : 12:30 PM to 1:50 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #308904
Title: Non-Negative Matrix Factorization in Statistics
Author(s): S. Stanley Young*+
Companies: National Institute of Statistical Sciences
Address: 19 T.W. Alexander Drive, Research Triangle Park, NC, 27709-4006,
Keywords: Matrix Factorization ; Non-negative Matrix Factorization ; NMF ; Clustering ; Microarray Analysis ; Text mining
Abstract:

Matrix factorization, singular value decomposition, is the underpinning of most linear statistical methods. Nonnegative matrix factorization, NMF, takes into account that, in many cases, two-way data tables contain only non-negative numbers. NMF is being used in analytical chemistry, image processing, text classification, blind signal separation, etc., but NMF is not widely considered in the statistics literature. There appears to be a wide scope for research on the use of NMF for statistical problems. The goal of this roundtable is to briefly present aspects of NMF and hear what is going on in this area. Participants are encouraged to be ready to discuss their own possible applications of NMF and/or analytic alternatives they have tried.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2007 program

JSM 2007 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2007