Research report 2017 - Max Planck Institute for Mathematics in the Sciences
Michałek, M.; Sturmfels, B.
Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig
SummaryTensors are higher-dimensional matrices. They provide an efficient way to store big data sets and to analyze them statistically. Using the decomposition into tensors of rank 1, hidden structures and correlations can be discovered. The geometry of tensors plays an important role in this research area.