Computational Data Mining
- 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- Computing Eigenvalues and Singular Values
11- Data Mining Applications
12 Classification of Handwritten Digits
13- Text Mining
14- Page Ranking for a Web Search Engine
15- Automatic Key