An Inexact Update Method with Double Parameters for Nonnegative Matrix Factorization
Joint Authors
Li, Xiangli
Zhang, Wen
Dong, Xiaoliang
Shi, Juanjuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Nonnegative matrix factorization (NMF) has been used as a powerful date representation tool in real world, because the nonnegativity of matrices is usually required.
In recent years, many new methods are available to solve NMF in addition to multiplicative update algorithm, such as gradient descent algorithms, the active set method, and alternating nonnegative least squares (ANLS).
In this paper, we propose an inexact update method, with two parameters, which can ensure that the objective function is always descent before the optimal solution is found.
Experiment results show that the proposed method is effective.
American Psychological Association (APA)
Li, Xiangli& Zhang, Wen& Dong, Xiaoliang& Shi, Juanjuan. 2016. An Inexact Update Method with Double Parameters for Nonnegative Matrix Factorization. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1111854
Modern Language Association (MLA)
Li, Xiangli…[et al.]. An Inexact Update Method with Double Parameters for Nonnegative Matrix Factorization. Mathematical Problems in Engineering No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1111854
American Medical Association (AMA)
Li, Xiangli& Zhang, Wen& Dong, Xiaoliang& Shi, Juanjuan. An Inexact Update Method with Double Parameters for Nonnegative Matrix Factorization. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1111854
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111854