What are scalability challenges in dimensionality reduction?

Updated May 16, 2026

Short answer

High computational cost, memory usage, and pairwise distance computations.

Deep explanation

Algorithms like t-SNE scale poorly due to O(n²) complexity. Large datasets require approximations like Barnes-Hut or random projection.

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