Matrix methods in data mining and pattern recognition

By: Eldén, LarsMaterial type: TextTextPublication details: USA: SIAM, [c2007]Description: 224 pISBN: 9780898716269LOC classification: QA76.9
Contents:
1. Vectors and Matrices in Data Mining and Pattern Recognition 2. Vectors and Matrices 3. Linear Systems and Least Squares 4. Orthogonality 5. QR Decomposition 6. Singular Value Decomposition 7. Reduced-Rank Least Squares Models 8. Tensor Decomposition 9. Clustering and Nonnegative Matrix Factorization 10. Classification of Handwritten Digits 11. Text Mining 12. Page Ranking for a Web Search Engine 13. Automatic Key Word and Key Sentence Extraction 14. Face Recognition Using Tensor SVD 15. Computing Eigenvalues and Singular Values
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1. Vectors and Matrices in Data Mining and Pattern Recognition
2. Vectors and Matrices
3. Linear Systems and Least Squares
4. Orthogonality
5. QR Decomposition
6. Singular Value Decomposition
7. Reduced-Rank Least Squares Models
8. Tensor Decomposition
9. Clustering and Nonnegative Matrix Factorization
10. Classification of Handwritten Digits
11. Text Mining
12. Page Ranking for a Web Search Engine
13. Automatic Key Word and Key Sentence Extraction
14. Face Recognition Using Tensor SVD
15. Computing Eigenvalues and Singular Values

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