Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

This book has a useful collection of examples of non-negative matrix factorizations. The code is included and their is considerable variety in the demonstration of each technique. My only problem with the text is it seems a little inconsistent in some places, and assumes almost immediate familiarity with the trade offs of each algorithmic implementation. However, this is a great book, when read along with an introduction to matrix factorization methods.

Best one on this subject. I was looking for a text on this matter while developing a library of biclustering mechanism. Book starts with the basics and quickly develops into the more practical aspect of blind source separation algorithms. I don't think there is nothing complaint much except for one little thing. I wish the authors accompanied some more hands-on examples and solutions instead of pseudocode.

Comprehensive reference. The best exposition I have seen. A must have. The presentation is concise, thorough, and easy to follow. Read it cover to cover, I could not put this book down.

It's very good.