Description
Parametric UMAP is a non-parametric graph-based dimensionality reduction algorithm that extends the second step of UMAP to a parametric optimization over neural network weights, learning a parametric relationship between data and embedding.
Papers Using This Method
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets2023-05-11Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals2022-09-05Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey2021-08-25Parametric UMAP embeddings for representation and semi-supervised learning2020-09-27