Data Science, Python, Machine Learning, Dimensionality Reduction.
recent years, and is based in Riemannian geometry and algebraic topology [6]. UMAP is a non-linear method that seeks to preserve the data structure in a lower-dimensional space, making it similar to t-SNE. However, according to its creators, UMAP is designed to be more efficient and scalable,