NMF: Stata module to perform matrix decomposition using non-negative matrix factorization (NMF)

Jonathan Batty ()
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Jonathan Batty: University of Leeds

Statistical Software Components from Boston College Department of Economics

Abstract: The aim of nmf is to decompose matrix A into a lower-rank matrix approximation such that X ≈ WH, where A, W and H are made up of non-negative, real numbers. Missing values are permitted. If X is an n x m matrix, the dimensions of W and H will be n x k and k x m, respectively, whereby k represents the rank of the decomposition. In many cases, a good approximation for A may be achieved with k

Language: Stata
Requires: Stata version 17
Keywords: non negative matrix factorisation; unsupervised machine learning; dimensionality reduction (search for similar items in EconPapers)
Date: 2024-09-06
Note: This module may be installed from within Stata by typing "ssc install nmf". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/n/nmf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nmf.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nsclc.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/f/faces.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/d/disease_matrix.dta sample data file (application/x-stata)

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