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Analysis of Air Quality Data Using Positive Matrix Factorization

โœ Scribed by Paterson, Kurtis G.; Sagady, Jessica L.; Hooper, Dianne L.; Bertman, Steve B.; Carroll, Mary Anne; Shepson, Paul B.

Book ID
126804924
Publisher
American Chemical Society
Year
1999
Tongue
English
Weight
213 KB
Volume
33
Category
Article
ISSN
0013-936X

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Nonnegative matrix factorization has been offered as a fast and effective method for analyzing nonnegative two-mode proximity data. The goal is to structurally represent a nonnegative proximity matrix as the product of two lower-dimensional nonnegative matrices. Goodness of fit is typically measured