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Wiley Nonnegative Matrix and Tensor Factorizations Book

Amazon

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Description

This Wiley publication provides a comprehensive survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). The text covers various extensions and modifications, with a specific focus on Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). As NMF, NTF, and their extensions become vital tools in signal processing, image processing, and data analysis, this book addresses their ability to provide new insights into complex latent relationships within experimental data sets. It explores how NMF can provide meaningful components for multi-way data analysis and blind source separation, making it a valuable resource for those working in computing and programming.

Key Features

This Wiley book offers a broad survey of models and efficient algorithms specifically for Nonnegative Matrix Factorization (NMF).

The content includes detailed information on Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD).

Learn how NMF and its extensions serve as tools in signal and image processing as well as general data analysis.

The text explains how these methods provide insights into the complex latent relationships found in experimental data sets.

This resource covers applications for exploratory multi-way data analysis and blind source separation.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
11 September 2009
Listed Since
07 January 2009

Barcode

No barcode data available

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