Parametric UMAP

2000년 도입 · 논문 4편에서 사용

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.

출처: Parametric UMAP embeddings for representation and semi-supervised learning

소개 논문: Parametric UMAP embeddings for representation and semi-supervised learning