Thumbnail Image
Item

Nonnegative Matrix Factorization Problem

An, Junda
Abstract
The Nonnegative Matrix Factorization (NMF) problem has been widely used to analyze high-dimensional nonnegative data and extract important features. In this paper, I review major concepts regarding NMF, some NMF algorithms and related problems including initialization strategies and near separable NMF. Finally I will implement algorithms on generated and real data to compare their performances.
Description
Date
2020-04-01
Journal Title
Journal ISSN
Volume Title
Publisher
Collections
Undergraduate Honors Theses
Show all metadata
Download Dataset
Files
Honors_Thesis.pdf
Adobe PDF, 245.92 KB
Rights Holder
Usage License
Embargo
Research Projects
Organizational Units
Journal Issue
Keywords
Citation
Advisor
Johnson, Charles
Yu, Gexin
White, Martin
Department
Mathematics
DOI
URI
https://scholarworks.wm.edu/handle/internal/10932
Embedded videos