UMAP-Clustering is a project that applies Uniform Manifold Approximation and Projection (UMAP) — a modern non-linear dimensionality reduction algorithm — to real-world datasets and combines it with ...
UMAP (Uniform Manifold Approximation and Projection; McInnes, Healy, & Melville, 2018) is a manifold learning algorithm grounded in algebraic topology. Unlike t-SNE, which optimizes KL divergence ...
The work of Charif Haydar, a researcher at Sailendra and Professor Anne Boyer, a founding member of Sailendra and professor at LORIA laboratory (Laboratoire Lorrain de Recherche en Informatique et ses ...
When mathematicians Leland McInnes and John Healy walked into their work’s annual “Big Dig” — a sort of classified hackathon for Canada’s version of the National Security Agency — in 2017, they were ...
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