Understanding Complex Datasets

Data Mining with Matrix Decompositions

af David (Queen's University Skillicorn

Focusing on data mining mechanics and applications, this book explores some of the most common matrix decompositions, including singular value, semidiscrete, independent component analysis, non-negative matrix factorization, and tensors. It also discusses several important theoretical and algorithmic problems of matrix decompositions.