Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization

Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization

Non-negative matrix factorization is a relatively new method of matrix decomposition which factors an <i>m</i> × <i>n</i> data matrix <i>X</i> into an <i>m</i> × <i>k</i> matrix <i>W</i> and a <i>k</i> × <i>n&l...

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Auteurs principaux: José M. Maisog, Andrew T. DeMarco, Karthik Devarajan, Stanley Young, Paul Fogel, George Luta
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
non-negative matrix factorization
normalization
PCA
factorization rank
number of factored components
high-dimensional data
Mathematics
QA1-939
Accès en ligne:https://doaj.org/article/17df6d63695d43868d77feb0c575755d
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https://doaj.org/article/17df6d63695d43868d77feb0c575755d

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