4 ms·

Are you sure t-SNE and UMAP actually perform very differently? Last I looked, they were somewhat comparable. [edit]: Seems they are similar for some purposes:

Are you sure t-SNE and UMAP actually perform very differently? Last I looked, they were somewhat comparable. [edit]: Seems they are similar for some purposes: https://blog.bioturing.com/2022/01/14/umap-vs-t-sne-single-cell-rna-seq-data-visualization/ https://blog.bioturing.com/2022/01/14/umap-vs-t-sne-single-c... Also interesting: Rapidsai has a cuda accelerated version of umap that is very fast (hdbscan as well BTW).

nighthawk454 4y ago
All these dimension reduction methods are extremely similar. The math essentially just preserves nearest neighbors, with a setting for how 'tight' you want the clusters to be. Check out this image [1] and accompanying paper [2] for further reference [1] https://www.semanticscholar.org/paper/A-Unifying-Perspective-on-Neighbor-Embeddings-along-B%C3%B6hm-Berens/9411cea70d31834f6cb4d2e9bee205e02b56d938/figure/0 https://www.semanticscholar.org/paper/A-Unifying-Perspective... [2] https://arxiv.org/abs/2007.08902 https://arxiv.org/abs/2007.08902