Subspace clustering of dimensionality-reduced data

Reinhard Heckel, Michael Tschannen, Helmut Bölcskei

Subspace clustering refers to the problem of clustering unlabeled high-dimensional data points into a union of low-dimensional linear subspaces, assumed unknown. In practice one ma…