Explore subspace clustering techniques in this 34-minute lecture by Laura Balzano from the University of Michigan. Delve into the concept of ensembles of K-Subspaces, examining its applications, results, and intuition. Learn about random initializations, one-dimensional problems, and angular separation. Compare clustering results with other algorithms such as SSC (Sparse Subspace Clustering). Gain insights into the latest developments in randomized numerical linear algebra and its applications in subspace clustering.