TY - GEN
T1 - Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization
AU - Pan, Junjun
AU - Ng, Michael K.
AU - Zhang, Xiongjun
N1 - Funding Information:
This work is supported in part by HKRGC GRF 12302715, 12306616, 12200317 and HKBU RC-ICRS/16-17/03.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Orthogonal nonnegative matrix factorization plays an important role for data clustering and machine learning. In this paper, we propose a new optimization model for orthogonal nonnegative matrix factorization based on the structural properties of orthogonal nonnegative matrix. The new model can be solved by a novel convex relaxation technique which can be employed quite efficiently. Numerical examples in document clustering, image segmentation and hyperspectral unmixing are used to test the performance of the proposed model. The performance of our method is better than the other testing methods in terms of clustering accuracy.
AB - Orthogonal nonnegative matrix factorization plays an important role for data clustering and machine learning. In this paper, we propose a new optimization model for orthogonal nonnegative matrix factorization based on the structural properties of orthogonal nonnegative matrix. The new model can be solved by a novel convex relaxation technique which can be employed quite efficiently. Numerical examples in document clustering, image segmentation and hyperspectral unmixing are used to test the performance of the proposed model. The performance of our method is better than the other testing methods in terms of clustering accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85059781239&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2018.8545862
DO - 10.1109/ICPR.2018.8545862
M3 - Conference proceeding
AN - SCOPUS:85059781239
SN - 9781538637890
T3 - Proceedings - International Conference on Pattern Recognition
SP - 459
EP - 464
BT - 2018 24th International Conference on Pattern Recognition, ICPR 2018
PB - IEEE
T2 - 24th International Conference on Pattern Recognition, ICPR 2018
Y2 - 20 August 2018 through 24 August 2018
ER -