World Scientific Publishing, 2023. — 1002 p.
Preliminaries.
Linear Spaces.
Matrices.
MatLAB Environment.
Determinants.
Norms and Inner Products.
Eigenvalues.
Similarity and Spectra.
Singular Values.
The K-Means Clustering.
Data Sample Matrices.
Least Squares Approximations and Data Mining.
Dimensionality Reduction Techniques.
Tensors and Exterior Algebras.
Multidimensional Array and Tensors.