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cs.LG2025
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…
cs.LG2023★ 3 cited
Revisiting Deep Generalized Canonical Correlation Analysis
Paris A. Karakasis, Nicholas D. Sidiropoulos
Canonical correlation analysis (CCA) is a classic statistical method for discovering latent co-variation that underpins two or more observed random vectors. Several extensions and…