Matrix methods in data mining and pattern recognition

@inproceedings{Eldn2007MatrixMI,
title={Matrix methods in data mining and pattern recognition},
author={L. Eld{\'e}n},
booktitle={Fundamentals of algorithms},
year={2007}
}

Preface Part I. Linear Algebra Concepts and Matrix Decompositions: 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 non-negative matrix factorization Part II. Data Mining Applications: 10. Classification of handwritten digits 11. Text mining 12. Page ranking for a Web search… Expand