Published Aug 21, 2018
In a world where huge amounts of information are released and collected every day, it has become essential to be able to give meaning to data sets and to recognise any underlying pattern in the collected data. In the recent article “Learning algebraic varieties from samples”, a group of researchers from the Max Planck Institute for Mathematics in the Sciences in Leipzig has presented a novel approach to the analysis of datasets that possess an inherent geometric structure.