Title :
Group locality preserving orthogonal nonnegative matrix factorization
Author :
Pei, XiaoBing ; Fang, ShaoHong ; Chen, Chuanbo
Author_Institution :
Coll. of Software, HuaZhong Universirty of Sci. & Technol., Wuhan, China
Abstract :
Non-negative matrix factorization (NMF) is useful in finding basis information of non-negative data. It is a new dimension reduction method. In this paper, a Group Locality Preserving Orthogonal Nonnegative Matrix Factorization (GLPONMF) is investigated. The idea is to extend the NMF method in order to extract basis vectors for each sample class and at the same time enforce the locality preserving orthogonal properties. Finally, the experimental evaluation has been given.
Keywords :
matrix decomposition; vectors; group locality preserving orthogonal; nonnegative data; nonnegative matrix factorization; vector extraction; Artificial neural networks; Classification algorithms; Clustering algorithms; Encoding; Signal processing algorithms; Sparse matrices; Vectors; Dimensionality reduction; Non-negative matrix factorization;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569706
