TY - GEN
T1 - Sparse nonnegative matrix factorization with the elastic net
AU - Liu, Weixiang
AU - Zheng, Songfeng
AU - Jia, Sen
AU - Shen, Linlin
AU - Fu, Xianghua
PY - 2010
Y1 - 2010
N2 - Nonnegative matrix factorization is used extensively for feature extraction and clustering analysis. Recently many sparsity/sparseness constraints, such as L1 penalty, are introduced for sparse nonnegative matrix factorization. Inspired by sparsity measures from linear regression model, this paper proposes to integrate nonnegative matrix factorization with another sparsity constraint, the elastic net. The experimental results of clustering analysis on three gene expression datasets demonstrate the effectiveness of the proposed method.
AB - Nonnegative matrix factorization is used extensively for feature extraction and clustering analysis. Recently many sparsity/sparseness constraints, such as L1 penalty, are introduced for sparse nonnegative matrix factorization. Inspired by sparsity measures from linear regression model, this paper proposes to integrate nonnegative matrix factorization with another sparsity constraint, the elastic net. The experimental results of clustering analysis on three gene expression datasets demonstrate the effectiveness of the proposed method.
KW - Clustering analysis
KW - Gene expression data
KW - Nonnegative matrix factorization
KW - Sparsity penalty
UR - http://www.scopus.com/inward/record.url?scp=79952424075&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2010.5706574
DO - 10.1109/BIBM.2010.5706574
M3 - Conference contribution
AN - SCOPUS:79952424075
SN - 9781424483075
T3 - Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010
SP - 265
EP - 268
BT - Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010
T2 - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010
Y2 - 18 December 2010 through 21 December 2010
ER -