TY  - JOUR
ID  - SisLab1471
UR  - http://www.worldscientific.com/doi/abs/10.1142/S1793005715400013
IS  - 2
A1  - Tran, Dang Hien
A1  - Do, Van Tuan
A1  - Pham, Van At
A1  - Le, Hung Son
Y1  - 2015///
N2  - Non-negative matrix factorization (NMF) is an emerging technique with a wide spectrum of potential applications in data analysis. Mathematically, NMF can be formulated as a minimization problem with non-negative constraints. This problem attracts much attention from researchers for theoretical reasons and for potential applications. Currently, the most popular approach to solve NMF is the multiplicative update algorithm proposed by Lee and Seung. In this paper, we propose an additive update algorithm that has a faster computational speed than Lee and Seung's multiplicative update algorithm.
PB  - World Scientific
JF  - Journal of New Mathematics and Natural Computation
VL  - 11
SN  - 1793-7027
TI  - Novel Algorithm for Nonnegative Matrix Factorization
SP  - 121
AV  - none
EP  - 133
ER  -