TY - JOUR
T1 - An Effective Initialization for Orthogonal Nonnegative Matrix Factorization
JO - Journal of Computational Mathematics
VL - 1
SP - 34
EP - 46
PY - 2012
DA - 2012/02
SN - 30
DO - http://doi.org/10.4208/jcm.1110-m11si10
UR - https://global-sci.org/intro/article_detail/jcm/8415.html
KW - Lanczos bidiagonalization, Orthogonal nonnegative matrix factorization, Low-rank approximation, Nonnegative approximation.
AB - <p style="text-align: justify;">The orthogonal nonnegative matrix factorization (ONMF) has many applications in a variety of areas such as data mining, information processing and pattern recognition. In this paper, we propose a novel initialization method for the ONMF based on the Lanczos bidiagonalization and the nonnegative approximation of rank one matrix. Numerical experiments are given to show that our initialization strategy is effective and efficient.</p>