DocumentCode
2039076
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
Volume
5
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2086
Lastpage
2088
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569706
Filename
5569706
Link To Document