Dimensionality Reduction

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.

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


Paper Code Results Date Stars


Task Papers Share
Dimensionality Reduction 2 66.67%
Data Visualization 1 33.33%


Component Type
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