seniorDimensionality Reduction
What is the role of eigen decomposition in spectral embedding?
Updated May 16, 2026
Short answer
Spectral embedding uses eigenvectors of graph Laplacian for dimensionality reduction.
Deep explanation
It constructs similarity graph, computes Laplacian matrix, and uses eigenvectors corresponding to smallest eigenvalues to embed data preserving structure.
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