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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changqing Xu Jiejie Jiao Hailong Hu Chuanlong Huangbin |
| Copyright Year | 2011 |
| Description | Author affiliation: School Of Environment and Resources, Zhejiang A&F University, Lin'An, Hangzhou, 311300 China (Jiejie Jiao) || Depart. Of Mathematics, School of Sciences, Zhejiang A&F University, Lin'An, Hangzhou, 311300 China (Changqing Xu; Hailong Hu; Chuanlong Huangbin) |
| 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. |
| Starting Page | 192 |
| Ending Page | 196 |
| File Size | 345644 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424493517 |
| e-ISBN | 9781424493524 |
| DOI | 10.1109/BMEI.2011.6098323 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Symmetric matrices Clustering methods Clustering algorithms QR decomposition Educational institutions Vectors (0,1)-CP Matrix decomposition Clustering Similarity Matrix Completely Positive Factorization |
| Content Type | Text |
| Resource Type | Article |
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