Even Faster and More Scalable UMAP on the GPU with RAPIDS cuML – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-31T20:50:22Z http://www.open-lab.net/blog/feed/ Jinsol Park <![CDATA[Even Faster and More Scalable UMAP on the GPU with RAPIDS cuML]]> http://www.open-lab.net/blog/?p=91198 2024-11-14T17:10:53Z 2024-10-31T20:24:07Z UMAP is a popular dimension reduction algorithm used in fields like bioinformatics, NLP topic modeling, and ML preprocessing. It works by creating a k-nearest...]]> UMAP is a popular dimension reduction algorithm used in fields like bioinformatics, NLP topic modeling, and ML preprocessing. It works by creating a k-nearest...Workflow diagram for disaggregating data into clusters and running in batches and merging.

UMAP is a popular dimension reduction algorithm used in fields like bioinformatics, NLP topic modeling, and ML preprocessing. It works by creating a k-nearest neighbors (k-NN) graph, which is known in literature as an all-neighbors graph, to build a fuzzy topological representation of the data, which is used to embed high-dimensional data into lower dimensions. RAPIDS cuML already contained��

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