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| Titel: |
An Efficient Initialization Method for Nonnegative Matrix Factorization |
| Auteur: |
M. Rezaei R. Boostani M. Rezaei |
| Verschenen in: |
Journal of applied sciences |
| Paginering: | Jaargang 11 (2011) nr. 2 pagina's 354-359 |
| Jaar: |
2011 |
| Inhoud: |
Although Non-negative Matrix Factorization (NMF) has been employed in many real applications but it still suffers from three shortcomings in terms of finding a suitable initialization method, choosing an effective cost function in addition with determining the suitable reduced dimension (Factors Rank). The aim of this study is to enhance NMF performance using Fuzzy C-Means Clustering (FCM) as an efficient initialization method for estimating initial factors of NMF. In this paper, we proposed an initialization in which both W and H matrices are identified simultaneously. The proposed method was applied to JAFFE facial expression dataset and the results exhibited superiority of this method compare to other the state-of-art initialization methods on the employed dataset. |
| Uitgever: |
Asian Network for Scientific Information (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 4 van 26 gevonden artikelen
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