t-SNE & UMAP ... They're just art—Lior Pachter
An exploration of t-distributed stochastic neighbor embedding (t-SNE) as generative mechanism. t-SNE is a widely used nonlinear dimension reduction technique. In the spring of 2021, while working on a lecture about this and similar methods, I noticed that t-SNE could generate point structures of unique artistic value. More recently, Lior Pachter has argued that t-SNE and the related UMAP do not serve a meaningful purpose in data analysis and are only useful for producing art.
This is a preview. The series is currently under development.