UMAP, which stands for Uniform Manifold Approximation and Projection, is a dimensionality reduction technique that helps visualize high-dimensional data in a lower-dimensional space. By maintaining the topological structure of the data, UMAP transforms complex datasets into two or three dimensions while preserving their relationships. This makes it an essential tool for data transformation and normalization, enabling better analysis and interpretation of large datasets.
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