Many data sets arising from signal processing or machine learning problems can be approximately modeled as a union of $K$ low dimensional linear sets. In this talk I will start by discussing the case $K=1$, which remains a surprisingly active area of research, despite more than a hundred years of history and a good understanding of the mathematics of the problem for many notions of...