An introduction to tensor products with applications to multiway data analysis

The concepts of tensor algebra and vector space geometry provide a unifying framework for multilinear data analysis which simplifies notation and leads to economy of thought. Avoiding too much abstraction too soon in defining tensor products makes these concepts accessible. Examples are given of the use of tensor algebra in the analysis of bilinear and trilinear models arising in fluorescence spectroscopy.