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Dimensionality Reduction: PCA, t-SNE and UMAP
PCA compresses variation into linear components; t-SNE and UMAP build lower-dimensional views of neighborhood structure. Learn what their plots preserve, what they can hide, and how to test a smaller representation before using it in retrieval or prediction.
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