Sparse and orthogonal singular value decomposition
Master of Science === Department of Statistics === Kun Chen === The singular value decomposition (SVD) is a commonly used matrix factorization technique in statistics, and it is very e ective in revealing many low-dimensional structures in a noisy data matrix or a coe cient matrix of a statistical...
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| Language: | en |
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Kansas State University
2013
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| Online Access: | http://hdl.handle.net/2097/15992 |