Matrix methods in data mining and pattern recognition
Material type: TextPublication 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
Item type | Current library | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|---|
Book | ICTS | Mathematic | Rack No 3 | QA76.9 (Browse shelf (Opens below)) | Available | Invoice no. 724244487 ; dated: 10-02-2019 | 01668 |
Total holds: 0
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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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