Title :
Locality Between-Locality Embedding Nonnegative Matrix Factorization
Author :
Xiaobing, Pei ; Changqin, Chen ; Chuanbo, Chen
Author_Institution :
Sch. of Software, HuaZhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper, we propose a Locality Between-locality Embedding Nonnegative Matrix Factorization (LBENMF) in order to investigate the underlying subspace structure of a data set. The idea is to extend the NMF algorithm by incorporating the local structure, the between-locality information constraints into the original NMF decomposition. Therefore the latent semantic space with locality, between-locality information preserving properties are obtained from the given data set by using LBENMF. Our experimental results show that the effectiveness of the proposed LBENMF method.
Keywords :
data mining; matrix decomposition; NMF decomposition; data set; latent semantic space; locality information constraint; locality information preserving; nonnegative matrix factorization; Automation; Biological system modeling; Embedded computing; Embedded software; Image reconstruction; Intelligent structures; Large scale integration; Matrix decomposition; Principal component analysis; Text mining; Nonnegative matrix factorization; dimensionality reduction;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.545
