DocumentCode
557402
Title
Clustering by CP-QR
Author
Xu, Changqing ; Jiao, Jiejie ; Hu, Hailong ; Huangbin, Chuanlong
Author_Institution
Dept. Of Math., Zhejiang A&F Univ., Hangzhou, China
Volume
1
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
192
Lastpage
196
Abstract
This paper concerns a novel method to deal with data clustering, which is called completely positive factorizations combined with QR decomposition. We first introduce the concept of completely positive matrices and then the (0,1) CP factorizations, by which some recent work on the linear clustering and the number of the clusters in this case is initialized. A detailed CP-QR algorithm is presented, and its advantage over NMF method is illustrated by an example.
Keywords
linear algebra; matrix decomposition; medical image processing; CP factorization; CPQR; QR decomposition; completely positive factorization; completely positive matrices; data clustering; linear clustering; Clustering algorithms; Clustering methods; Educational institutions; Matrix decomposition; Symmetric matrices; Vectors; (0,1)-CP; Clustering; Completely Positive Factorization; QR decomposition; Similarity Matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9351-7
Type
conf
DOI
10.1109/BMEI.2011.6098323
Filename
6098323
Link To Document