EigenU Europe returns to Copenhagen, DK October 2-5, 2023 Complete Info Here!

EVRI-thing You Need to Know About t-SNE & UMAP in PLS_Toolbox/Solo

Jan 6, 2022

PLS_Toolbox and Solo version 9.0 include two relatively new data visualization methods, t-distributed Stochastic Neighbor Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP). These routines, from the scikitlearn library for Python, can now be found in our interfaces (and for PLS_Toolbox, also at the MATLAB® command line). We will introduce these methods and show how to access them in the new PLS_Toolbox and Solo.


TSNE Learning Resources

  • How to use t-SNE effectively
    • https://distill.pub/2016/misread-tsne/Understanding UMAP by Andy Coenen and Adam Pearce


UMAP Learning Resources