The Multivariate Embedding platform is available only in JMP Pro.
The Multivariate Embedding platform enables you to map data from very high-dimensional spaces to a low-dimensional space. Many times, you want to map the data to either two or three dimensions so that the low-dimensional space can be easily visualized. In the Multivariate Embedding platform, you can use either the Uniform Manifold Approximation and Projection (UMAP) method or the t-Distributed Stochastic Neighbor Embedding (t-SNE) method. Both methods attempt to fill the low-dimensional space in such a way that clusters of near neighbors can be more easily identified.
Figure 11.1 Example of Multivariate EmbeddingÂ