Rank selection for non‐negative matrix factorization

Non‐Negative Matrix Factorization (NMF) is a widely used dimension reduction method that factorizes a non‐negative data matrix into two lower dimensional non‐negative matrices: one is the basis or feature matrix which consists of the variables and the other is the coefficients matrix which is the pr...

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Bibliographic Details

Published in:	Statistics in medicine Vol. 42; no. 30; pp. 5676 - 5693
Main Authors:	Cai, Yun, Gu, Hong, Kenney, Toby
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 30.12.2023 Wiley Subscription Services, Inc
Subjects:	Hypotheses Hypothesis testing metagenomics microbial communities non‐negative matrix factorization rank selection subcommunities subcommunities rank selection microbial communities non-negative matrix factorization metagenomics
ISSN:	0277-6715, 1097-0258, 1097-0258
Online Access:	Get full text
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