UMATO Visualization Demo

Supplemental material for the academic paper:

UMATO: Two-phase Manifold Approximation for Accurate, Scalable, and Stable Dimensionality Reduction

Welcome to our UMATO (Uniform Manifold Approximation with Two-phase Optimization) demo! This tool showcases the latest advancements in dimensionality reduction techniques, effectively tackling some of the limitations found in previous models such as UMAP and t-SNE. Now let's dive into our interactive visualization demo, which comprises multiple datasets and parameters to offer you a hands-on experience with UMATO.

UMATO Github