Multi-way analysis deals with data that are logically arranged as 3rd order tensors (3-dimensional arrays) or higher order structures. Applied Multi-way Analysis begins with a review of multi-way data structures and the instruments that generate such data. Multi-way models, such as PARAFAC, Tucker and N-PLS, will be illustrated. Emphasis will be placed on how to apply these models and to show their unique properties. Applications, such as sensory data, chromatographic data and fluorescence data will be discussed. The course will finish with some advanced considerations such as optimal preprocessing and missing data. The course includes hands-on computer time for participants to work example problems using PLS_Toolbox, Solo and MATLAB®.
Price
$395.00
8 lectures, 6 hours 15 minutes