What is density-preserving dimensionality reduction?

It preserves probability density structure of data during projection.

Density-preserving methods aim to maintain local point density relationships so that clusters and sparse regions remain meaningful after projection. UMAP partially achieves this through fuzzy topological representations, while t-SNE focuses more on local similarity.