Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book

chapter 1|22 pages

Data Mining

chapter 2|26 pages

Matrix decompositions

chapter 3|42 pages

Singular Value Decomposition (SVD)

chapter 4|32 pages

Graph Analysis

chapter 5|26 pages

SemiDiscrete Decomposition (SDD)

chapter 6|14 pages

Using SVD and SDD together

chapter 7|18 pages

Independent Component Analysis (ICA)

chapter 8|16 pages

Non-Negative Matrix Factorization (NNMF)

chapter 9|8 pages


chapter 10|6 pages