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UMAP is one of the most popular dimension-reductions algorithms and this StatQuest walks you through UMAP, one step at a time, so that you will have a solid understanding of how UMAP works. NOTE: This StatQuest is based on the original UMAP manuscript... ...specifically Appendix C, From t-SNE to UMAP, which is also here... ...and the UMAP user documentation... For a complete index of all the StatQuest videos, check out... ...or... If you’d like to support StatQuest, please consider... Patreon: ...or... YouTube Membership: ...a cool StatQuest t-shirt or sweatshirt:
