Singular Value Decomposition

A mathematical technique that decomposes a matrix into three component matrices, used to reduce high-dimensional data to its most important features while preserving essential relationships. In accessibility research, SVD is a core component of Latent Semantic Analysis and has been applied to problems like computing similarity between web page elements for thematic segmentation, helping screen reader users navigate content more efficiently by grouping semantically related elements together.