In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …

Part 2 of this monograph builds on the introduction to tensor networks and their operations
presented in Part 1. It focuses on tensor network models for super-compressed higher-order …

The widespread use of multisensor technology and the emergence of big data sets have
highlighted the limitations of standard flat-view matrix models and the necessity to move …

Electroencephalography (EEG) is one fundamental tool for functional brain imaging. EEG
signals tend to be represented by a vector or a matrix to facilitate data processing and …

In today's era of increased food consumption, consumers have become more demanding in
terms of safety and the quality of products they consume. As a result, food authorities are …

Multivariate Calibration Harald Martens, Chemist, Norwegian Food Research Institute, Aas,
Norway and Norwegian Computing Center, Oslo, Norway Tormod Næs, Statistician …

This paper explains the multi-way decomposition method PARAFAC and its use in
chemometrics. PARAFAC is a generalization of PCA to higher order arrays, but some of the …

In the last two decades Soft Sensors established themselves as a valuable alternative to the
traditional means for the acquisition of critical process variables, process monitoring and …

This communication describes a free toolbox for MATLAB® for analysis of multiway data.
The toolbox is called “The N-way Toolbox for MATLAB” and is available on the internet at …

This book is an introduction to the field of multi-way analysis for chemists and
chemometricians. Its emphasis is on the ideas behind the method and its pratical …