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Nonnegative matrix factorization for spectral data analysis

✍ Scribed by V. Paul Pauca; J. Piper; Robert J. Plemmons


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
329 KB
Volume
416
Category
Article
ISSN
0024-3795

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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