Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering

Paris A. Karakasis, Nicholas D. Sidiropoulos

We introduce a novel framework for clustering a collection of tall matrices based on their column spaces, a problem we term Subspace Clustering of Subspaces (SCoS). Unlike traditio…