What is random projection in dimensionality reduction?

Updated May 16, 2026

Short answer

Random projection reduces dimensions using random matrices while preserving distances approximately.

Deep explanation

Based on Johnson-Lindenstrauss lemma, high-dimensional data can be projected into lower dimensions using random Gaussian or sparse matrices while preserving pairwise distances.

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