A relationship-matrix preservation loss for dimensionality reduction, with perturbation-theoretic bounds showing orthogonality and rank are kept when the Gram matrix is matched.
Laplacian eigenmaps for dimensionality reduction and data repre- sentation
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Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework
A relationship-matrix preservation loss for dimensionality reduction, with perturbation-theoretic bounds showing orthogonality and rank are kept when the Gram matrix is matched.