Seonglae ChoUniform Manifold Approximation and Projection
Non-linear Dimensionality Reduction Algorithm
Reduces dimensions by focusing on densely packed data regions
Easy to apply to large-scale datasets, used in various applications such as visualization and clustering
A dimensionality reduction algorithm based on topological data analysis ideas and manifold learning techniques
- topological data analysis
